A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

AAtranspose(Matrix) - Method in class edu.stanford.nlp.linalg.MatrixAlgebra
returns A*A'
AbstractArray - class edu.stanford.nlp.linalg.AbstractArray.
Abstract Array class
AbstractArray() - Constructor for class edu.stanford.nlp.linalg.AbstractArray
 
AbstractClassifier - class edu.stanford.nlp.classify.AbstractClassifier.
 
AbstractClassifier() - Constructor for class edu.stanford.nlp.classify.AbstractClassifier
 
AbstractClusteringMethod - class edu.stanford.nlp.cluster.AbstractClusteringMethod.
Abstract implementation of ClusteringMethod.
AbstractClusteringMethod() - Constructor for class edu.stanford.nlp.cluster.AbstractClusteringMethod
 
AbstractDataCollection - class edu.stanford.nlp.dbm.AbstractDataCollection.
Abstract Data Collection.
AbstractDataCollection() - Constructor for class edu.stanford.nlp.dbm.AbstractDataCollection
 
AbstractDistribution - class edu.stanford.nlp.stats.AbstractDistribution.
abstract base for distributions
AbstractDistribution() - Constructor for class edu.stanford.nlp.stats.AbstractDistribution
 
AbstractFieldExtractor - class edu.stanford.nlp.ie.AbstractFieldExtractor.
Abstract superclass for implementations of the FieldExtractor interface.
AbstractFieldExtractor() - Constructor for class edu.stanford.nlp.ie.AbstractFieldExtractor
 
AbstractInstanceMerger - class edu.stanford.nlp.ie.merge.AbstractInstanceMerger.
Class for combining together partial instances of (presumeably) the same entity.
AbstractInstanceMerger() - Constructor for class edu.stanford.nlp.ie.merge.AbstractInstanceMerger
 
AbstractLabel - class edu.stanford.nlp.trees.AbstractLabel.
An AbstractLabel object acts as a Label with linguistic attributes.
AbstractLabel() - Constructor for class edu.stanford.nlp.trees.AbstractLabel
 
AbstractMatrix - class edu.stanford.nlp.linalg.AbstractMatrix.
Abstract Matrix class
AbstractMatrix() - Constructor for class edu.stanford.nlp.linalg.AbstractMatrix
default constructor.
AbstractMatrix(int, int) - Constructor for class edu.stanford.nlp.linalg.AbstractMatrix
constructs Matrix of given size
AbstractMatrix(int, int, int) - Constructor for class edu.stanford.nlp.linalg.AbstractMatrix
constructs matrix of given size and cardinality
AbstractMatrix(String) - Constructor for class edu.stanford.nlp.linalg.AbstractMatrix
constructs Matrix and sets values according to ASCII file of form: num_rows num_columns cardinality followed by triplets row, column, value
AbstractMetric - class edu.stanford.nlp.linalg.AbstractMetric.
Class which defines distance and similarity functions once we have a norm
AbstractMetric() - Constructor for class edu.stanford.nlp.linalg.AbstractMetric
 
AbstractSimpleClusters - class edu.stanford.nlp.cluster.AbstractSimpleClusters.
Simple Interface for a collection of Clusters.
AbstractSimpleClusters() - Constructor for class edu.stanford.nlp.cluster.AbstractSimpleClusters
 
AbstractSimpleDatabase - class edu.stanford.nlp.database.AbstractSimpleDatabase.
Abstract implementation of SimpleDatabase; only implements toVerboseString() and toVerboseXMLString()
AbstractSimpleDatabase() - Constructor for class edu.stanford.nlp.database.AbstractSimpleDatabase
 
abstractText() - Method in class edu.stanford.nlp.dbm.OhsumedDocument
Returns the abstract text for this document.
AbstractTokenizer - class edu.stanford.nlp.process.AbstractTokenizer.
Abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
 
accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter
Checks whether a file satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter
Checks whether a file satisfies the selection filter.
accept(Object) - Method in interface edu.stanford.nlp.util.Filter
Checks if the given object passes the filter.
accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
 
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.ie.ExtractDemo
 
ACTIVE - Static variable in class edu.stanford.nlp.parser.oldparser.Edge
 
activeEdge - Variable in class edu.stanford.nlp.parser.oldparser.Traversal
 
AdaptiveLabelFactory - class edu.stanford.nlp.trees.AdaptiveLabelFactory.
An AdaptiveLabelFactory object makes simple Labels for objects, by creating a label of an appropriate type depending on the arguments passed in.
AdaptiveLabelFactory() - Constructor for class edu.stanford.nlp.trees.AdaptiveLabelFactory
 
add_escapes(String) - Method in class edu.stanford.nlp.annotation.ParseException
Used to convert raw characters to their escaped version when these raw version cannot be used as part of an ASCII string literal.
add_escapes(String) - Method in class edu.stanford.nlp.ie.desc.ParseException
Used to convert raw characters to their escaped version when these raw version cannot be used as part of an ASCII string literal.
add(AmbiguityClass) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
add(Array) - Method in class edu.stanford.nlp.linalg.AbstractArray
 
add(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns this + addend does not change receiver.
add(Cluster) - Method in class edu.stanford.nlp.cluster.VectorClusters
 
add(Cluster) - Method in interface edu.stanford.nlp.cluster.Clusters
Adds cluster to Clusters
add(Datum) - Method in class edu.stanford.nlp.dbm.FileDataCollection
inserts a Datum into the Data Collection assigns Datum to lowest unassigned index in FileDataCollection and returns this index note: this allows for duplicate objects to be stored with different indices.
add(Datum) - Method in class edu.stanford.nlp.dbm.DataSet
inserts a Datum into the Data Collection assigns Datum to lowest unassigned index in FileDataCollection and returns this index note: this allows for duplicate objects to be stored with different indices.
add(Datum) - Method in interface edu.stanford.nlp.dbm.DataCollection
Inserts a Datum into the Data Collection.
add(Datum) - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
add(Experiment) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
add(Experiment) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
add(Feature) - Method in class edu.stanford.nlp.maxent.iis.Problem
 
add(Feature) - Method in class edu.stanford.nlp.maxent.iis.Features
 
add(Featurizable) - Method in class edu.stanford.nlp.dbm.DataMatrix
inserts Featurizable Object into DataMatrix, and returns its index
add(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
add(int) - Method in class edu.stanford.nlp.classify.SortedArray
Add an element to the array.
add(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
add(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
add(int) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
add(int, Featurizable) - Method in class edu.stanford.nlp.dbm.DSDataMatrix
inserts Featurizable Object into DataMatrix, and returns its index
add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
add(IntPair, ProbCountHolder) - Method in class edu.stanford.nlp.mt.TTable
 
add(IntTuple, ATable) - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
add(IntTuple, int) - Method in class edu.stanford.nlp.mt.TupleCounter
 
add(Labeled) - Method in class edu.stanford.nlp.dbm.LabelMatrix
inserts Labeled Object into LabelMatrix, and returns its index
add(Object) - Method in class edu.stanford.nlp.classify.LinkedList
 
add(Object) - Method in class edu.stanford.nlp.dbm.DBIndexedSet
 
add(Object) - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
add(Object) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
add(Object) - Method in class edu.stanford.nlp.util.TopBeam
 
add(Object) - Method in class edu.stanford.nlp.util.ScoredPriorityAgenda
 
add(Object) - Method in class edu.stanford.nlp.util.StackAgenda
 
add(Object) - Method in class edu.stanford.nlp.util.LikelihoodBeam
 
add(Object) - Method in class edu.stanford.nlp.util.Counter
Add a count of 1.0 for object.
add(Object) - Method in class edu.stanford.nlp.util.Beam
 
add(Object) - Method in interface edu.stanford.nlp.util.Heap
Adds the object to the heap.
add(Object) - Method in class edu.stanford.nlp.util.ArrayHeap
Adds an object to the heap.
add(Object) - Method in interface edu.stanford.nlp.util.Agenda
 
add(Object, double) - Method in class edu.stanford.nlp.util.Counter
 
add(Object, ProbCountHolder) - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
add(ScientificNotationDouble) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
returns the sum of this and addend
Add(Score) - Method in class edu.stanford.nlp.ie.pcfg.Score
 
add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
add(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
addAll(Collection) - Method in class edu.stanford.nlp.util.Beam
 
addAllToGrammar(SimpleGrammar) - Method in class edu.stanford.nlp.lexgram.SimpleGrammarFileReader
 
addAllToLexicon(SimpleLexicon) - Method in class edu.stanford.nlp.lexgram.SimpleLexiconFileReader
 
addColumn(Array) - Method in interface edu.stanford.nlp.linalg.GrowableMatrix
add column vector v to the of the matrix.
addColumn(Array) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
insert column vector v into the ith column of the matrix.
addCounter(Counter) - Method in class edu.stanford.nlp.util.Counter
 
addCounts(PrecisionRecallStats) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the counts from the given stats to the counts of this stats.
addCounts(String, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Counts relevant statistics for the given example in its given category
addDatum(int) - Method in class edu.stanford.nlp.cluster.HardCluster
Adds a datum to the cluster
addEntries(SentencePair, TupleCounter) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1Tags
 
addEntries(SentencePair, TupleCounter, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1Tags
 
AddEpsilonSmoother - class edu.stanford.nlp.classify.AddEpsilonSmoother.
Smooths a ProbabilitySet using a HashMap vocabulary.
AddEpsilonSmoother(ProbabilitySet, HashMap, double) - Constructor for class edu.stanford.nlp.classify.AddEpsilonSmoother
unsmoothed is a set of unsmoothed probabilities, and vocab is a hash table that contains all of the vocabulary words seen in that set
addEscapes(String) - Static method in class edu.stanford.nlp.annotation.TokenMgrError
Replaces unprintable characters by their espaced (or unicode escaped) equivalents in the given string
addEscapes(String) - Static method in class edu.stanford.nlp.ie.desc.TokenMgrError
Replaces unprintable characters by their espaced (or unicode escaped) equivalents in the given string
addFactor(Set) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
addFactor(String) - Method in interface edu.stanford.nlp.stats.Statistics
Specify a joint distribution of variables over which joint statistics are to be kept.
addFactor(String) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
addFeature(Feature) - Method in class edu.stanford.nlp.classify.FeatureSet
Adds the feature "next" to this FeatureSet.
addFN(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the given number to the count of false negatives.
addFP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the given number to the count of false positives.
addIgnore(String, boolean) - Method in class edu.stanford.nlp.annotation.HtmlCleaner
Specifies a type of html tag to ignore.
addKeeperTag(String) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Specifies that a tag should be returned as a token, overriding the DiscardHtml setting.
addLabel(Label) - Method in class edu.stanford.nlp.dbm.BasicDocument
Adds the given Label to the List of labels for this Document if it is not null.
addLabel(Label) - Method in class edu.stanford.nlp.dbm.BasicDatum
Adds the given Label to the List of labels for this Datum if it is not null.
AddOneSmoother - class edu.stanford.nlp.classify.AddOneSmoother.
 
AddOneSmoother() - Constructor for class edu.stanford.nlp.classify.AddOneSmoother
 
addPartTakingVerb(History, String) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
addPrefix(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Legacy method for modifying the structure.
addPrev(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
addProb(ClassProbability) - Method in class edu.stanford.nlp.classify.ProbabilitySet
Inserts the ClassProbability next
addPRRBINTakingVerb(History, String) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
addRareTemplatesNew(History, String, int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
addRule(Rule) - Method in interface edu.stanford.nlp.lexgram.Grammar
 
addRule(Rule) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
addSuffix(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Legacy method for modifying the structure.
AddTag(String) - Method in class edu.stanford.nlp.ie.pcfg.XLabel
adds a tag if it hasn't already been added.
addTagging(Label, Word) - Method in interface edu.stanford.nlp.lexgram.Lexicon
 
addTagging(Label, Word) - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
addTagging(Label, Word, double) - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
addTarget(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Legacy method for modifying the structure.
addTarget(String, String) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Adds an active target tag
addTarget(String, String, boolean) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Specifies which tags should be considered target tags.
addTemplatesNew(History, String, int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
addThatTakingVerb(History, String, String) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
addToMapValueSet(Map, Object, Object) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
AddTop(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Adds a new node (with label == startSymbol) to the root of the tree.
addTP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the given number to the count of true positives.
addTransition(DFSATransition) - Method in class edu.stanford.nlp.fsm.DFSAState
 
addTransition(int, int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Inserts a transition from fromState to toState
addTraversal(Traversal) - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
addUnknown(Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
This method should be called after the sentence has been tagged.
addVPTaking(String, String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
addXY(int, int, Color) - Method in class edu.stanford.nlp.util.XYPlotFrame
 
ADJ - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
ADJNP - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
adjustBeginLineColumn(int, int) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
Method to adjust line and column numbers for the start of a token.
advanceData() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
read in the next data in currentData
advanceData() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
read in the next data in currentData
ADVERB - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
AdwaitSentenceReaderFactory - class edu.stanford.nlp.trees.AdwaitSentenceReaderFactory.
This class implements a SentenceReaderFactory which is suitable for reading in tagged or untagged sentences formatted according to the conventions used in Adwait Ratnaparkhi's Java MXPOST and MXTERMINATOR software.
AdwaitSentenceReaderFactory() - Constructor for class edu.stanford.nlp.trees.AdwaitSentenceReaderFactory
 
AdwaitSentenceReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.AdwaitSentenceReaderFactory
Create a new AdwaitSentenceReaderFactory.
AdwaitStreamTokenizer - class edu.stanford.nlp.trees.AdwaitStreamTokenizer.
Builds a tokenizer for Adwait-style pos tagged directories.
AdwaitStreamTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.AdwaitStreamTokenizer
Create a tokenizer for Adwait-style sentences.
Agenda - interface edu.stanford.nlp.util.Agenda.
Agenda: an interface for representing an Agenda (a list of things to be done).
AlHandler - class edu.stanford.nlp.mt.AlHandler.
This serves to handle the alignment probabilities the basic functionality is getProb(i,j) and incCount(i,j,val);
AlHandler() - Constructor for class edu.stanford.nlp.mt.AlHandler
 
AlHandlerHMM1 - class edu.stanford.nlp.mt.AlHandlerHMM1.
This serves to handle the alignment probabilities the basic functionality is getProb(i,j) and incCount(i,j,val);
AlHandlerHMM1() - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM1
 
AlHandlerHMM1(ATable) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM1
 
AlHandlerHMM1E - class edu.stanford.nlp.mt.AlHandlerHMM1E.
This serves to handle the alignment probabilities the basic functionality is getProb(i,j) and incCount(i,j,val);
AlHandlerHMM1E(ATableHMMHolder) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM1E
 
AlHandlerHMM1F - class edu.stanford.nlp.mt.AlHandlerHMM1F.
 
AlHandlerHMM1F(ATableHMMHolder) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM1F
 
AlHandlerHMM1SG - class edu.stanford.nlp.mt.AlHandlerHMM1SG.
This serves to handle the alignment probabilities the basic functionality is getProb(i,j) and incCount(i,j,val);
AlHandlerHMM1SG() - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM1SG
 
AlHandlerHMM1SG(StayGoTable, int, ATableHMMHolder, ATable) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM1SG
 
AlHandlerHMM1Tags - class edu.stanford.nlp.mt.AlHandlerHMM1Tags.
This serves to handle the alignment probabilities the basic functionality is getProb(i,j,alignment) and incCount(i,j,alignment,val); Handles conditioning on many different tag configurations - french tags and english tags The conditioning tags are specified with a number which contains flags for different tags
AlHandlerHMM1Tags(ATableHMMHolder, int) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM1Tags
 
AlHandlerHMM2 - class edu.stanford.nlp.mt.AlHandlerHMM2.
This serves to handle the alignment probabilities this is trigram HMM
AlHandlerHMM2() - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2
 
AlHandlerHMM2(ATable) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2
 
AlHandlerHMM2E - class edu.stanford.nlp.mt.AlHandlerHMM2E.
This serves to handle the alignment probabilities this is trigram HMM .
AlHandlerHMM2E(ATableHMMHolder) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2E
 
AlHandlerHMM2EQ - class edu.stanford.nlp.mt.AlHandlerHMM2EQ.
This serves to handle the alignment probabilities this is trigram HMM
AlHandlerHMM2EQ() - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2EQ
 
AlHandlerHMM2EQ(ATable) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2EQ
 
AlHandlerHMM2EQSG - class edu.stanford.nlp.mt.AlHandlerHMM2EQSG.
 
AlHandlerHMM2EQSG() - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2EQSG
 
AlHandlerHMM2EQSG(StayGoTables, int, ATableHMMHolder, ATable) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2EQSG
 
AlHandlerHMM2Tags - class edu.stanford.nlp.mt.AlHandlerHMM2Tags.
This serves to handle the alignment probabilities the basic functionality is getProb(i,j,alignment) and incCount(i,j,alignment,val); Handles conditioning on many different tag configurations - french tags and english tags The conditioning tags are specified with a number which contains flags for different tags
AlHandlerHMM2Tags(ATableHMMHolder, int, boolean) - Constructor for class edu.stanford.nlp.mt.AlHandlerHMM2Tags
 
all - Static variable in class edu.stanford.nlp.ie.pcfg.DEBUG
 
ALL_PARSES - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Keep all parses for a sentence in the chart
allocate(int, int) - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
allocates memory for matrix of given size
allocate(int, int) - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
allocates memory for matrix of given size
allocate(int, int) - Method in class edu.stanford.nlp.linalg.AbstractMatrix
allocates memory for matrix of given size
allocate(int, int) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
allocates memory for matrix of given size
allocate(int, int, int) - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
allocates memory for matrix of given size and cardinality
allocate(int, int, int) - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
allocates memory for matrix of given size and cardinality
allocate(int, int, int) - Method in class edu.stanford.nlp.linalg.AbstractMatrix
allocates memory for matrix of given size and cardinality
allocate(int, int, int) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
allocates memory for matrix of given size and cardinality
allTaggerOutputs - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
alpha - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
ALPHA - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
ALPHANUM - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
ALPHANUM - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
AmbiguityClass - class edu.stanford.nlp.tagger.maxent.AmbiguityClass.
This class is not integrated yet into the tagger.
AmbiguityClass() - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
AmbiguityClass(String) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
AmbiguityClass(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
AmbiguityClasses - class edu.stanford.nlp.tagger.maxent.AmbiguityClasses.
This class is not integrated yet into the tagger.
AmbiguityClasses() - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
analyseFeatures(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
analyseInput() - Method in class edu.stanford.nlp.classify.SimpleGoodTuring
Does SGT smoothing and returns an array with the smoothed counts.
AnalyseNominal - class edu.stanford.nlp.maxent.iis.AnalyseNominal.
This class was created to make it easy to train MaxEnt models from files in the same format that Weka uses.
AnalyseNominal() - Constructor for class edu.stanford.nlp.maxent.iis.AnalyseNominal
 
AnalyseNominal(String) - Constructor for class edu.stanford.nlp.maxent.iis.AnalyseNominal
 
analyzeChartRelaxation() - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
analyzeChartSaturation() - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
Annotator - class edu.stanford.nlp.annotation.Annotator.
A simple Java editor that supports the easy addition of xml-style tags to mark off portions of text.
Annotator(String, WindowListener) - Constructor for class edu.stanford.nlp.annotation.Annotator
Create an Annotator JFrame.
AnswerChecker - class edu.stanford.nlp.ie.hmm.AnswerChecker.
Utility class for checking whether words pulled from the HMM match the errors created from an AnswerConstructor.
AnswerChecker.Range - class edu.stanford.nlp.ie.hmm.AnswerChecker.Range.
Reprsents a range [from,to) (same semantics as substring).
AnswerChecker.Range(int, int) - Constructor for class edu.stanford.nlp.ie.hmm.AnswerChecker.Range
Constructs a new range with the given span.
AnswerChecker(TypedTaggedDocument) - Constructor for class edu.stanford.nlp.ie.hmm.AnswerChecker
Constructs a new AnswerChecker to check answers for the given TypedTaggedDocument.
AnswerConstructor - class edu.stanford.nlp.ie.hmm.AnswerConstructor.
Takes a Collection of TypedTaggedWords (or a Collection of Words and a list of integers for the corresponsing types) and pulls out the strings of each type.
AnswerConstructor() - Constructor for class edu.stanford.nlp.ie.hmm.AnswerConstructor
Constructs a new AnswerConstructor without a predefined list of word types.
AnswerConstructor(int[]) - Constructor for class edu.stanford.nlp.ie.hmm.AnswerConstructor
Constructs a new AnswerConstructor with the given predfined list of types for each word that will be passed into process.
ANY - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
ANY - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
APOST_WORD - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
append(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
append(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
Appliable - interface edu.stanford.nlp.process.Appliable.
 
AppliableParser - class edu.stanford.nlp.parser.AppliableParser.
This is a temporary parser which implements Appliable.
AppliableParser(String) - Constructor for class edu.stanford.nlp.parser.AppliableParser
 
apply(double, double) - Method in class edu.stanford.nlp.math.Min
 
apply(double, double) - Method in class edu.stanford.nlp.math.Max
 
apply(double, double) - Method in class edu.stanford.nlp.math.Average
 
apply(double, double, double, double) - Method in class edu.stanford.nlp.math.WeightedAverage
 
apply(double, double, double, double) - Method in interface edu.stanford.nlp.math.Double4Function
 
apply(Object) - Method in class edu.stanford.nlp.ie.hmm.WordTypeStripper
If in is a TypedTaggedWord, returns a new copy of the word with the type set to 0.
apply(Object) - Method in class edu.stanford.nlp.parser.AppliableParser
 
apply(Object) - Method in class edu.stanford.nlp.process.Stemmer
Stems word (which must be a Word, or else a ClassCastException will be thrown, and returns stemmed Word.
apply(Object) - Method in interface edu.stanford.nlp.process.Appliable
Converts an Object to a different Object.
apply(Object) - Method in class edu.stanford.nlp.tagger.maxent.StaticStringTagger
Implementing the interface Applicable
apply(Object) - Method in class edu.stanford.nlp.trees.TreeJugglers.StringLabelTreeToCategoryWordTagTreeAppliable
 
apply(SentenceProcessor) - Method in class edu.stanford.nlp.trees.MemorySentencebank
Apply the SentenceProcessor sp to all sentences in the Sentencebank
apply(SentenceProcessor) - Method in class edu.stanford.nlp.trees.Sentencebank
Apply a SentenceProcessor to each tree in the Sentencebank
apply(SentenceProcessor) - Method in class edu.stanford.nlp.trees.DiskSentencebank
Applies the SentenceProcessor to to all trees in the Sentencebank.
apply(TreeProcessor) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Apply the TreeProcessor tp to all trees in the Treebank.
apply(TreeProcessor) - Method in class edu.stanford.nlp.trees.DiskTreebank
Applies the TreeProcessor to to all trees in the Treebank.
apply(TreeProcessor) - Method in class edu.stanford.nlp.trees.Treebank
Apply a TreeProcessor to each tree in the Treebank.
ApplyTagSet(List, XTagSet) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
ApplyTagSet(Tree, List) - Static method in class edu.stanford.nlp.ie.pcfg.IEParser
 
array - Variable in class edu.stanford.nlp.linalg.DenseNumberArray
 
Array - interface edu.stanford.nlp.linalg.Array.
Interface for dense or sparse arrays which store numbers.
Array3 - class edu.stanford.nlp.mt.Array3.
A class to represent 3 dimensional array of float by using a one dimensional array This is to make access faster
Array3(int, int, int) - Constructor for class edu.stanford.nlp.mt.Array3
 
Array4 - class edu.stanford.nlp.mt.Array4.
A class to represent a 4 dimensional array of float by using a one dimensional array This is to make access faster
Array4(int, int, int, int) - Constructor for class edu.stanford.nlp.mt.Array4
 
ArrayHeap - class edu.stanford.nlp.util.ArrayHeap.
ArrayHeap: Heap implementation.
ArrayHeap(Comparator) - Constructor for class edu.stanford.nlp.util.ArrayHeap
The objects added will be ordered using the Comparator.
ArrayHeap(Comparator, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
 
ArrayListMatrix - class edu.stanford.nlp.linalg.ArrayListMatrix.
An ArrayList of arrays
ArrayListMatrix() - Constructor for class edu.stanford.nlp.linalg.ArrayListMatrix
 
ArrayListMatrix(int) - Constructor for class edu.stanford.nlp.linalg.ArrayListMatrix
 
ArrayListMatrix(int, int) - Constructor for class edu.stanford.nlp.linalg.ArrayListMatrix
 
ArrayListMatrix(String) - Constructor for class edu.stanford.nlp.linalg.ArrayListMatrix
 
ArrayMap - class edu.stanford.nlp.util.ArrayMap.
ArrayMap: A map that is backed by an Array
ASCENDING - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
asciiToChar(byte) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
asciiToNative(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
asciiToNative(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
asFeatures() - Method in class edu.stanford.nlp.dbm.BasicDocument
Returns this (the features are the list of words).
asFeatures() - Method in class edu.stanford.nlp.dbm.BasicDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() - Method in interface edu.stanford.nlp.dbm.Featurizable
returns Object as a Collection of its features
assignCategory(int) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
assigns datum datum to a category and returns the index of the category.
assignCategory(int) - Method in class edu.stanford.nlp.classify.KNN
returns number of nearest neighbors that were classified as category category
assignCategory(int) - Method in class edu.stanford.nlp.classify.AbstractClassifier
Assigns Datum datum to a category.
assignCategory(int, Array) - Method in class edu.stanford.nlp.classify.KNN
assigns datum datum to a category and returns the index of the category.
assignData() - Method in class edu.stanford.nlp.cluster.Kmeans
Assigns each data in data set to it closest mean
assignDatum(int) - Method in class edu.stanford.nlp.cluster.Kmeans
Assigns a datum to its closest mean
assignMultipleCategories(int) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
assigns datum datum to multiple categories with certain probabilities.
assignMultipleCategories(int) - Method in class edu.stanford.nlp.classify.KNN
 
assignMultipleCategories(int) - Method in class edu.stanford.nlp.classify.AbstractClassifier
Assigns Datum datum to multiple categories with certain probabilities.
assignMultipleCategories(int, Array) - Method in class edu.stanford.nlp.classify.KNN
assigns datum datum to multiple categories with certain probabilities.
aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
ATable - class edu.stanford.nlp.mt.ATable.
 
ATable() - Constructor for class edu.stanford.nlp.mt.ATable
 
ATable(int) - Constructor for class edu.stanford.nlp.mt.ATable
 
ATableHMM - class edu.stanford.nlp.mt.ATableHMM.
 
ATableHMM() - Constructor for class edu.stanford.nlp.mt.ATableHMM
 
ATableHMM(int) - Constructor for class edu.stanford.nlp.mt.ATableHMM
 
ATableHMM2 - class edu.stanford.nlp.mt.ATableHMM2.
 
ATableHMM2() - Constructor for class edu.stanford.nlp.mt.ATableHMM2
 
ATableHMM2(int) - Constructor for class edu.stanford.nlp.mt.ATableHMM2
 
ATableHMM2EQ - class edu.stanford.nlp.mt.ATableHMM2EQ.
 
ATableHMM2EQ() - Constructor for class edu.stanford.nlp.mt.ATableHMM2EQ
 
ATableHMM2EQ(int) - Constructor for class edu.stanford.nlp.mt.ATableHMM2EQ
 
ATableHMMFull - class edu.stanford.nlp.mt.ATableHMMFull.
The purpose of this class is to hold counts and alignment probabilities for an HMM p(aj|aj-1,l) .
ATableHMMFull(int) - Constructor for class edu.stanford.nlp.mt.ATableHMMFull
 
ATableHMMHolder - class edu.stanford.nlp.mt.ATableHMMHolder.
 
ATableHMMHolder() - Constructor for class edu.stanford.nlp.mt.ATableHMMHolder
 
ATableHMMHolder(int) - Constructor for class edu.stanford.nlp.mt.ATableHMMHolder
 
attr - Variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
This field contains the name of the active target tag that is currently in scope, or null if no tag is in scope.
attributes() - Method in interface edu.stanford.nlp.trees.HasAttributes
Manipulate attributes for a Label
Average - class edu.stanford.nlp.math.Average.
Implements standard average
Average() - Constructor for class edu.stanford.nlp.math.Average
 

B

B(String) - Static method in class edu.stanford.nlp.ie.pcfg.DEBUG
 
BACKGROUND - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
backup(int) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
backup(int) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
BasicDatum - class edu.stanford.nlp.dbm.BasicDatum.
Basic implementation of Datum interface that can be constructed with a Collection of features and one more more labels.
BasicDatum() - Constructor for class edu.stanford.nlp.dbm.BasicDatum
Constructs a new BasicDatum with no features or labels.
BasicDatum(Collection) - Constructor for class edu.stanford.nlp.dbm.BasicDatum
Constructs a new BasicDatum with the given features and no labels.
BasicDatum(Collection, Collection) - Constructor for class edu.stanford.nlp.dbm.BasicDatum
Constructs a new BasicDatum with the given features and labels.
BasicDatum(Collection, Label) - Constructor for class edu.stanford.nlp.dbm.BasicDatum
Constructs a new BasicDatum with the given features and label.
BasicDocument - class edu.stanford.nlp.dbm.BasicDocument.
Basic implementation of Document that should be suitable for most needs.
BasicDocument() - Constructor for class edu.stanford.nlp.dbm.BasicDocument
Constructs a new (empty) BasicDocument.
Beam - class edu.stanford.nlp.util.Beam.
??
Beam() - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int) - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int, Comparator) - Constructor for class edu.stanford.nlp.util.Beam
 
Beep() - Static method in class edu.stanford.nlp.ie.pcfg.Util
beep.
beginColumn - Variable in class edu.stanford.nlp.annotation.Token
beginLine and beginColumn describe the position of the first character of this token; endLine and endColumn describe the position of the last character of this token.
beginLine - Variable in class edu.stanford.nlp.annotation.Token
beginLine and beginColumn describe the position of the first character of this token; endLine and endColumn describe the position of the last character of this token.
BeginToken() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
BeginToken() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
belongs(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
BEST_ONLY - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Keep only best edges over a span in a chart, based on edge score
bestAnswers(Document, int[]) - Method in class edu.stanford.nlp.ie.hmm.HMM
Returns a map from state type (Integer) -> List of Strings representing best answer for that type.
bestLabel(String, String) - Method in class edu.stanford.nlp.parser.oldparser.ParseEval
 
bestSequence(TagScorer) - Method in class edu.stanford.nlp.tagger.maxent.TagInference
 
beta - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
bgColor - Static variable in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
 
bigN - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
bigNprime - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
BinaryFeature - class edu.stanford.nlp.maxent.iis.BinaryFeature.
This is used when only binary features are needed.
BinaryFeature() - Constructor for class edu.stanford.nlp.maxent.iis.BinaryFeature
 
BinaryFeature(Experiments, double[]) - Constructor for class edu.stanford.nlp.maxent.iis.BinaryFeature
 
BinaryFeature(Experiments, double[][]) - Constructor for class edu.stanford.nlp.maxent.iis.BinaryFeature
 
BinaryFeature(Experiments, int[]) - Constructor for class edu.stanford.nlp.maxent.iis.BinaryFeature
 
BinaryFeatures - class edu.stanford.nlp.maxent.iis.BinaryFeatures.
 
BinaryFeatures() - Constructor for class edu.stanford.nlp.maxent.iis.BinaryFeatures
 
BinaryFeatures(String, Experiments) - Constructor for class edu.stanford.nlp.maxent.iis.BinaryFeatures
 
BinaryProblem - class edu.stanford.nlp.maxent.iis.BinaryProblem.
 
BinaryProblem() - Constructor for class edu.stanford.nlp.maxent.iis.BinaryProblem
 
BinaryProblem(String) - Constructor for class edu.stanford.nlp.maxent.iis.BinaryProblem
The format of the file is with the XML tags.
BKGRNDIDX - Static variable in class edu.stanford.nlp.ie.hmm.State
 
BobChrisTreeNormalizer - class edu.stanford.nlp.trees.BobChrisTreeNormalizer.
Normalizes trees roughly the way used in Manning and Carpenter 1997.
BobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
BOFDataMatrix - class edu.stanford.nlp.dbm.BOFDataMatrix.
"Bag of Features" Feature Matrix.
BOFDataMatrix(GrowableMatrix, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.BOFDataMatrix
 
BOFDataMatrix(String, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.BOFDataMatrix
 
booleanArrToByteArr(boolean[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
booleanArrToByteArr(boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
booleanArrToByteArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
BOTTOM_UP - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Argument to constructor: parse bottom up
bufpos - Variable in class edu.stanford.nlp.annotation.SimpleCharStream
 
bufpos - Variable in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
build() - Method in class edu.stanford.nlp.classify.VocabBuilder
Builds and returns the HashMap.
buildClassifier(String, int, double) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
buildClassifier(String, int, double) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
buildClassifier(String, int, double) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
buildClassifierCrossValidation(String, int, double) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
buildClassifierValidation(String, int, double) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
buildClassifierValidation(String, int, double) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
buildPS() - Method in class edu.stanford.nlp.classify.Trainer
This method builds a ProbabilitySet from the data in the files given to the trainer.
ButFilter - class edu.stanford.nlp.classify.ButFilter.
This (very primitive) filter removes everything from the beginning of a sentence until the word "but".
ButFilter() - Constructor for class edu.stanford.nlp.classify.ButFilter
 
byteArrToAString(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToAString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToAStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToAStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToAStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToBoolean(byte[], int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToBooleanArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToBooleanArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToBooleanArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToChar(byte[], int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToCharArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToCharArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToCharArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToDouble(byte[], int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToDoubleArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToDoubleArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToDoubleArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToFloat(byte[], int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToFloatArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToFloatArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToFloatArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToInt(byte[], int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToIntArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToIntArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToIntArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToLong(byte[], int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToLongArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToLongArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToLongArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToShort(byte[], int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToShortArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToShortArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToShortArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToUString(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToUString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToUStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToUStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
byteArrToUStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
ByteFeature - class edu.stanford.nlp.maxent.iis.ByteFeature.
This class is used when we are sure the feature will have a value in 0-255 for each data pair
ByteFeature() - Constructor for class edu.stanford.nlp.maxent.iis.ByteFeature
 
ByteFeature(Experiments, byte[][]) - Constructor for class edu.stanford.nlp.maxent.iis.ByteFeature
 
ByteFeature(Experiments, int[], byte[]) - Constructor for class edu.stanford.nlp.maxent.iis.ByteFeature
 
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
 

C

c - Variable in class edu.stanford.nlp.ie.pcfg.XTagSet
 
C(int, int) - Static method in class edu.stanford.nlp.ie.pcfg.Util
calculates choose(n, r)
cache - Variable in class edu.stanford.nlp.mt.TPHandlerNM
 
cache - Variable in class edu.stanford.nlp.mt.TPHandler
 
cache_choose - Variable in class edu.stanford.nlp.mt.CHandler
 
cache_notchoose - Variable in class edu.stanford.nlp.mt.CHandler
 
cache_nulls - Variable in class edu.stanford.nlp.mt.TPHandlerNM
 
calcEmitStates - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
calcEmitStates() - Method in class edu.stanford.nlp.ie.hmm.MultiStructure
 
calcPrecision(Set, Set) - Static method in class edu.stanford.nlp.parser.oldparser.ParseEval
 
calcRecall(Set, Set) - Static method in class edu.stanford.nlp.parser.oldparser.ParseEval
Note: this routine might return NaN, if called on sets corresponding to sentences with no nontrivial constituents -- e.g., a one word sentence.
calculate_S(int) - Method in class edu.stanford.nlp.cluster.LSSA
calculates sum_over_t(gamma(z)), since it takes a long time to calculate, and it is used many times it is used as the denominator each calculation of a and each calculation of b
cAllCap - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
capacity() - Method in class edu.stanford.nlp.util.Beam
 
cardinality() - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
 
cardinality() - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
overrides AbstractMatrix.cardinality()
cardinality() - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
 
cardinality() - Method in class edu.stanford.nlp.linalg.AbstractArray
Returns the number of cells having non-zero values; ignores tolerance.
cardinality() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
cardinality() - Method in interface edu.stanford.nlp.linalg.Array
Returns number of nonzero entries in array
cardinality() - Method in interface edu.stanford.nlp.linalg.Matrix
Returns the number of cells having non-zero values; ignores tolerance.
category - Variable in class edu.stanford.nlp.ie.pnp.DataGenerator.Example
category (label) for this example.
Category - class edu.stanford.nlp.trees.Category.
A Category object acts as a Label by containing a String that is a part-of-speech category.
CATEGORY_LABEL - Static variable in class edu.stanford.nlp.trees.AdaptiveLabelFactory
 
category() - Method in class edu.stanford.nlp.trees.NullLabel
 
category() - Method in class edu.stanford.nlp.trees.CategoryWordTag
 
category() - Method in interface edu.stanford.nlp.trees.HasCategory
Return the category value of the label (or null if none).
category() - Method in class edu.stanford.nlp.trees.Category
 
Category() - Constructor for class edu.stanford.nlp.trees.Category
Constructs a Category object.
Category(Label) - Constructor for class edu.stanford.nlp.trees.Category
Creates a new category whose category value is the value of any class that supports the Label interface.
Category(String) - Constructor for class edu.stanford.nlp.trees.Category
Constructs a Category object.
categoryCounts - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
CategoryMatrix - class edu.stanford.nlp.classify.CategoryMatrix.
Wrapper for a Matrix whose columns are P(w|c).
CategoryMatrix(LabeledDataCollection) - Constructor for class edu.stanford.nlp.classify.CategoryMatrix
 
CategoryMatrix(Matrix, Matrix, List) - Constructor for class edu.stanford.nlp.classify.CategoryMatrix
constructs a CategoryMatrix from a Matrix of count data and its tags
categoryNames - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
CategoryWordTag - class edu.stanford.nlp.trees.CategoryWordTag.
A CategoryWordTag object acts as a complex Label which contains a category, a head word, and a tag.
CategoryWordTag() - Constructor for class edu.stanford.nlp.trees.CategoryWordTag
 
CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.trees.CategoryWordTag
 
CategoryWordTag(String) - Constructor for class edu.stanford.nlp.trees.CategoryWordTag
This one argument constructor sets just the value.
CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.trees.CategoryWordTag
 
CategoryWordTagFactory - class edu.stanford.nlp.trees.CategoryWordTagFactory.
A CategoryWordTagFactory is a factory that makes a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.trees.CategoryWordTagFactory
 
cEmpty - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
center(DoubleMatrix2D) - Method in class edu.stanford.nlp.linalg.EAlgebra
Centers the matrix around its mean.
CGMinimizer - class edu.stanford.nlp.optimization.CGMinimizer.
Conjugate-gradient implementation based on the code in Numerical Recipes in C.
CGMinimizer() - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Basic constructor, use this.
CGMinimizer(boolean) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Pass in false to get per-iteration progress reports (to stderr).
CGMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Perform minimization with monitoring.
CGRunner - class edu.stanford.nlp.maxent.iis.CGRunner.
This class will call Conjugate Gradient on a LambdaSolve object to find optimal parameters, including imposing a Gaussian prior on those parameters.
CGRunner(LambdaSolve, String) - Constructor for class edu.stanford.nlp.maxent.iis.CGRunner
Set up a LambdaSolve problem for solution by Conjugate Gradient.
CGRunner(LambdaSolve, String, double, boolean, double) - Constructor for class edu.stanford.nlp.maxent.iis.CGRunner
Set up a LambdaSolve problem for solution by Conjugate Gradient.
CHandler - class edu.stanford.nlp.mt.CHandler.
The purpose of this class is to handle the choose/ not choose probabilities for english words that I am implementing
CHandler() - Constructor for class edu.stanford.nlp.mt.CHandler
 
CHandler(PTable, boolean) - Constructor for class edu.stanford.nlp.mt.CHandler
 
characters(char[], int, int) - Method in class edu.stanford.nlp.classify.ScoreHandler
 
characters(char[], int, int) - Method in class edu.stanford.nlp.classify.MedlineHandler
 
characters(char[], int, int) - Method in class edu.stanford.nlp.wsd.SensevalOutput
 
charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
charBinCutoffs - Static variable in class edu.stanford.nlp.ie.pnp.PnpClassifier
 
charBinCutoffs - Static variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
charConvergenceMargin - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
charInterpolationConstants - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
charSequenceCounts - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
charSequenceTotalsByLength - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
Chart - class edu.stanford.nlp.parser.oldparser.Chart.
Chart: Chart parser data structure.
charToAscii(char) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
charTotalCounts - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
ChartParser - class edu.stanford.nlp.parser.oldparser.ChartParser.
ChartParser.
ChartParser(DFSAGrammar, Lexicon, int, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.oldparser.ChartParser
Builds a parser for a grammar and lexicon.
ChartParser(DFSAGrammar, Lexicon, int, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.oldparser.ChartParser
Builds a parser for a grammar and lexicon.
charWordInterpolationConstants - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
checkAnswers(int[], boolean) - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker
Returns a map from Integer (state type) -> PrecisionRecallStats for that state type.
checkBestAnswers(Map) - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker
Takes a Map from Integer (type) -> List of Strings for best guess word sequence and returns a Map from type to PrecisionRecallStats for that state type.
checkCorrectness() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Check whether the constraints are satisfied, the probabilities sum to one, etc.
checkCorrectness() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
 
checkCounts() - Method in class edu.stanford.nlp.tagger.maxent.Morpho
 
checkOK() - Method in class edu.stanford.nlp.mt.ATableHMMFull
 
checkOK() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
checkOK() - Method in class edu.stanford.nlp.mt.ATableHMM2
 
checkOK() - Method in class edu.stanford.nlp.mt.ATable
 
checkOK() - Method in class edu.stanford.nlp.mt.ATableHMM
 
checkOK(int) - Method in class edu.stanford.nlp.mt.ATableHMMFull
Check OK for a specific length len
checkOK(int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Check OK for a specific length len
checkOK(int) - Method in class edu.stanford.nlp.mt.ATableHMM2
Check OK for a specific length len
checkOK(int) - Method in class edu.stanford.nlp.mt.ATableHMM
Check OK for a specifi length len
ChelbaHeadFinder - class edu.stanford.nlp.trees.ChelbaHeadFinder.
Implements the HeadFinder found in Ciprian Chelba's 2000 thesis.
ChelbaHeadFinder() - Constructor for class edu.stanford.nlp.trees.ChelbaHeadFinder
 
children() - Method in class edu.stanford.nlp.trees.SimpleTree
Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no children.
children() - Method in class edu.stanford.nlp.trees.Tree
Returns an array of children for the current node.
chooseNext() - Method in class edu.stanford.nlp.cluster.PDDP
Chooses the next cluster to split.
chrisDefaultStates() - Static method in class edu.stanford.nlp.ie.hmm.Structure
Initializes a reasonable default structure, with a background, prefix and suffix states and some number of target states.
chrisDefaultStates2() - Static method in class edu.stanford.nlp.ie.hmm.Structure
Initializes a reasonable default structure, with a background, prefix and suffix states and some number of target states.
Chunker - class edu.stanford.nlp.ie.desc.Chunker.
 
Chunker(ChunkerTokenManager) - Constructor for class edu.stanford.nlp.ie.desc.Chunker
 
Chunker(InputStream) - Constructor for class edu.stanford.nlp.ie.desc.Chunker
 
Chunker(Reader) - Constructor for class edu.stanford.nlp.ie.desc.Chunker
 
ChunkerConstants - interface edu.stanford.nlp.ie.desc.ChunkerConstants.
 
ChunkerTokenManager - class edu.stanford.nlp.ie.desc.ChunkerTokenManager.
 
ChunkerTokenManager(SimpleCharStream) - Constructor for class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
ChunkerTokenManager(SimpleCharStream, int) - Constructor for class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
ci - Variable in class edu.stanford.nlp.linalg.AbstractArray
 
Classification - class edu.stanford.nlp.classify.Classification.
This class holds the classification assigned to a FeatureSet
Classification() - Constructor for class edu.stanford.nlp.classify.Classification
my_id is the integer that identifies the class.
Classifier - interface edu.stanford.nlp.classify.Classifier.
 
ClassifierB - interface edu.stanford.nlp.classify.ClassifierB.
An interface for a classifier.
Classify - class edu.stanford.nlp.classify.Classify.
Takes two arguments: the first is a directory where the training sets are held.
Classify() - Constructor for class edu.stanford.nlp.classify.Classify
 
classify(LabeledDataCollection, DataCollection) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
classify(LabeledDataCollection, DataCollection) - Method in interface edu.stanford.nlp.classify.Classifier
Assigns each Datum in the test collection to one single category.
classify(LabeledDataCollection, DataCollection) - Method in class edu.stanford.nlp.classify.AbstractClassifier
 
classify(String) - Method in class edu.stanford.nlp.classify.NBClassifier
filename gives the name of the file where the results will be written.
classify(String) - Method in interface edu.stanford.nlp.classify.ClassifierB
 
classOf(double[]) - Method in interface edu.stanford.nlp.classification.internal.IClassifier
The internal classification function.
ClassProbability - class edu.stanford.nlp.classify.ClassProbability.
This class holds the counts and probabilities for the features of a single class (classification category).
ClassProbability(int) - Constructor for class edu.stanford.nlp.classify.ClassProbability
A constructor that creates an empty ClassProbability of category id.
ClassProbability(int, HashMap) - Constructor for class edu.stanford.nlp.classify.ClassProbability
A constructor that creates a new ClassProbability of category id with the counts from my_probs.
ClassProbBuilder - class edu.stanford.nlp.classify.ClassProbBuilder.
Accepts a feature vector and a class id, and returns a ClassProbability
ClassProbBuilder(HashMap, int, int) - Constructor for class edu.stanford.nlp.classify.ClassProbBuilder
The hash map 'hm' contains all of the counts seen for that class.
clean() - Method in class edu.stanford.nlp.annotation.HtmlCleaner
Cleans the html file specified in the constructor and writes the output to the outstream specifed in the constructor.
clean() - Method in class edu.stanford.nlp.maxent.iis.Features
 
Clean(List) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
Clean(Tree, boolean, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Removes tag and head information from all labels in a tree.
CleanLabels(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Strips tag information from all labels in a tree Use Clean(Tree tree, boolean includeTags, boolean includeHead) instead!
CleanLeaves(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Removes tag information from all the nodes in a tree
CleanTop(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Removes tag information from the top node in a tree.
clear() - Method in class edu.stanford.nlp.parser.oldparser.ParseEval
 
clear() - Method in interface edu.stanford.nlp.stats.Statistics
 
clear() - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
clear() - Method in class edu.stanford.nlp.trees.MemoryTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.DiskTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.MemorySentencebank
Empty a Sentencebank.
clear() - Method in class edu.stanford.nlp.trees.Treebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.Sentencebank
Empty a Sentencebank.
clear() - Method in class edu.stanford.nlp.trees.DiskSentencebank
Empty a Sentencebank.
clear() - Method in class edu.stanford.nlp.util.LikelihoodBeam
 
clear() - Method in class edu.stanford.nlp.util.ArrayHeap
Clears the heap.
clearData() - Method in class edu.stanford.nlp.cluster.VectorClusters
 
clearData() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
clearData() - Method in interface edu.stanford.nlp.cluster.Cluster
Dets the value for all data in cluster = 0
clearData() - Method in interface edu.stanford.nlp.cluster.Clusters
Clears the Data from all clusters
clearEmpty() - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
clearInfrequent() - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
clone() - Method in class edu.stanford.nlp.cluster.VectorClusters
 
clone() - Method in class edu.stanford.nlp.cluster.MatrixDecompositionClusters
Returns deep copy of Clusters
clone() - Method in class edu.stanford.nlp.cluster.HiddenState
overwrites Cluster.clone() so that all the additional structures in HiddenState are also copied to its clone
clone() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
clone() - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Returns deep copy of Clusters
clone() - Method in interface edu.stanford.nlp.cluster.Cluster
Returns deep copy of Cluster
clone() - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Returns deep copy of Clusters
clone() - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
clone() - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
clone() - Method in class edu.stanford.nlp.linalg.DenseSNDArray
 
clone() - Method in class edu.stanford.nlp.linalg.DenseIntArray
 
clone() - Method in class edu.stanford.nlp.linalg.DenseDoubleArray
 
clone() - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
 
clone() - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
clone() - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
 
clone() - Method in class edu.stanford.nlp.linalg.AbstractArray
 
clone() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
clone() - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
 
clone() - Method in interface edu.stanford.nlp.linalg.Array
Returns deep copy of Array
clone() - Method in interface edu.stanford.nlp.linalg.Matrix
 
CLOSE - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
close() - Method in class edu.stanford.nlp.database.SLJDB
Closes the database for read and write
close() - Method in class edu.stanford.nlp.trees.TreeReader
Close the Reader behind this TreeReader
close() - Method in class edu.stanford.nlp.trees.SentenceReader
Close the Reader behind this SentenceReader.
close() - Static method in class edu.stanford.nlp.util.Dbg
 
closeFile() - Method in class edu.stanford.nlp.classify.MedlineHandler
 
closest(Matrix) - Method in class edu.stanford.nlp.cluster.HACM
Iterates through the similarity matrix to find the clusters with highest similarity.
Cluster - interface edu.stanford.nlp.cluster.Cluster.
Data Structure for Cluster.
cluster(DataCollection, int) - Method in class edu.stanford.nlp.cluster.SVD
 
cluster(DataCollection, int) - Method in class edu.stanford.nlp.cluster.PLSI
Perform default number of iterations (60)
cluster(DataCollection, int) - Method in class edu.stanford.nlp.cluster.PDDP
 
cluster(DataCollection, int) - Method in class edu.stanford.nlp.cluster.LSSA
 
cluster(DataCollection, int) - Method in class edu.stanford.nlp.cluster.Kmeans
Clusters by performing 30 iterations
cluster(DataCollection, int) - Method in class edu.stanford.nlp.cluster.HACM
Clusters documents into the desired number of clusters by Hierarchical Agglomerative Clustering
cluster(DataCollection, int) - Method in interface edu.stanford.nlp.cluster.ClusteringMethod
Performs clustering algorithm, and populates Clusters
cluster(DataCollection, int, String) - Method in interface edu.stanford.nlp.cluster.ClusteringMethod
Performs clustering algorithm, and prints clusters to file
cluster(DataCollection, int, String) - Method in class edu.stanford.nlp.cluster.AbstractClusteringMethod
 
cluster(int, Double4Function) - Method in class edu.stanford.nlp.cluster.HACM
Clusters using complicated cluster similarity function, such as group-average
cluster(int, DoubleDoubleFunction) - Method in class edu.stanford.nlp.cluster.HACM
Clusters using a simple cluster similarity function, such as single-link or complete link
ClusteringMethod - interface edu.stanford.nlp.cluster.ClusteringMethod.
Interface for Clustering Methods.
clusters - Variable in class edu.stanford.nlp.cluster.VectorClusters
 
clusters - Variable in class edu.stanford.nlp.cluster.AbstractClusteringMethod
vector of clusters
Clusters - interface edu.stanford.nlp.cluster.Clusters.
Interface for a collection of Clusters that span the entire data collection.
ClusterTransform - class edu.stanford.nlp.cluster.ClusterTransform.
Transforms an XML Clusters file into an HTML Clusters file.
ClusterTransform() - Constructor for class edu.stanford.nlp.cluster.ClusterTransform
 
cMidSentence - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cmp - Static variable in class edu.stanford.nlp.parser.oldparser.Edge
 
cn - Static variable in class edu.stanford.nlp.ie.pnp.PnpClassifier
 
cn - Static variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
CODE - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
CODE_END - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
CODE_TAG - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
CODE_WORD - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
codes - Static variable in class edu.stanford.nlp.ie.pcfg.DEBUG
 
codeTable - Static variable in class edu.stanford.nlp.maxent.iis.Convert
 
CollectionProcessor - class edu.stanford.nlp.process.CollectionProcessor.
 
CollectionProcessor(Appliable) - Constructor for class edu.stanford.nlp.process.CollectionProcessor
 
CollectionTaggerOutputs - class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs.
This class will just hold an array of the outputs of all available taggers.
CollectionTaggerOutputs(int) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
 
CollectionTaggerOutputs(String[]) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
These will be like commnad-line arguments.
CollinsHeadFinder - class edu.stanford.nlp.trees.CollinsHeadFinder.
Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
 
CollinsSemanticHeadFinder - class edu.stanford.nlp.trees.CollinsSemanticHeadFinder.
Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsSemanticHeadFinder
 
Collision(XTagSet, XTagSet) - Static method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
ColtDenseMatrix - class edu.stanford.nlp.linalg.ColtDenseMatrix.
A Wrapper for a DenseDoubleMatrix2D
ColtDenseMatrix(DoubleMatrix2D) - Constructor for class edu.stanford.nlp.linalg.ColtDenseMatrix
 
ColtDenseMatrix(int, int) - Constructor for class edu.stanford.nlp.linalg.ColtDenseMatrix
 
ColtDenseMatrix(String) - Constructor for class edu.stanford.nlp.linalg.ColtDenseMatrix
 
ColtSparseDoubleArray - class edu.stanford.nlp.linalg.ColtSparseDoubleArray.
An Array Wrapper for cern.colt.matrix.SparseDoubleMatrix1D
ColtSparseDoubleArray(double[]) - Constructor for class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
ColtSparseDoubleArray(DoubleMatrix1D) - Constructor for class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
ColtSparseDoubleArray(int) - Constructor for class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
ColtSparseMatrix - class edu.stanford.nlp.linalg.ColtSparseMatrix.
A Wrapper for a SparseDoubleMatrix2D
ColtSparseMatrix(DoubleMatrix2D) - Constructor for class edu.stanford.nlp.linalg.ColtSparseMatrix
 
ColtSparseMatrix(int, int) - Constructor for class edu.stanford.nlp.linalg.ColtSparseMatrix
 
ColtSparseMatrix(String) - Constructor for class edu.stanford.nlp.linalg.ColtSparseMatrix
 
columnIndex() - Method in class edu.stanford.nlp.linalg.AbstractArray
 
columnIndex() - Method in class edu.stanford.nlp.linalg.Entry
returns column index of Entry
columnIndex() - Method in interface edu.stanford.nlp.linalg.Array
Returns column index of column vector
columnIterator() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
columnIterator() - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
returns iterator over all column in matrix.
columnIterator() - Method in interface edu.stanford.nlp.linalg.Matrix
iterates through all Array columns in the Matrix
columns() - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
 
columns() - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
 
columns() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
columns() - Method in interface edu.stanford.nlp.linalg.Matrix
returns number of columns in matrix
COMMA - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
comment - Static variable in class edu.stanford.nlp.ie.pnp.TestScriptGenerator
Comment prefix: "#".
COMMENT_BODY - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
COMMENT_END - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
COMMENT_START - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
COMMENT_WORD - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
compare(Object, Object) - Method in class edu.stanford.nlp.util.ScoredComparator
 
compareTo(Object) - Method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
compareTo(Object) - Method in class edu.stanford.nlp.linalg.Entry
Compares entries first by value, then by row index, then by column index.
compareTo(Object) - Method in class edu.stanford.nlp.trees.AbstractLabel
Implementation of comparison for Label.
compareTo(Object) - Method in class edu.stanford.nlp.trees.Constituent
Implementation of comparison for Comparable interface.
compareTo(Object) - Method in interface edu.stanford.nlp.trees.Label
Implementation of comparison for Label.
compareTo(Object) - Method in class edu.stanford.nlp.util.Pair
Compares this Pair to another object.
compatibleConcept(Concept) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
By default, compatible with all concepts.
compatibleConcept(Concept) - Method in interface edu.stanford.nlp.ie.merge.InstanceMerger
Checks if the Merger is compatible with a given Concept.
compile() - Method in class edu.stanford.nlp.classify.FeatureAdder
Compiles the ClassProbabilities in the ProbabilitySet join so that there is only one ClassProbability for each class (category)
computeCharSequenceTotals() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Computes the total probability of generating all words of a given length.
concatFields(Relation, Instance, Instance, Confidence, Confidence, Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
For the specified relation, takes the two values in each of the instances and concatenates them together delimiting with a comma space.
conditionedVariables() - Method in class edu.stanford.nlp.stats.StringDistributionDescriptor
 
conditionedVariables() - Method in interface edu.stanford.nlp.stats.DistributionDescriptor
 
conditioningVariables() - Method in class edu.stanford.nlp.stats.StringDistributionDescriptor
 
conditioningVariables() - Method in interface edu.stanford.nlp.stats.DistributionDescriptor
 
Confidence - class edu.stanford.nlp.ie.Confidence.
Meant to serve as a parallel structure to the KAON Instance.
Confidence(Instance) - Constructor for class edu.stanford.nlp.ie.Confidence
Creates a Confidence object based on the Instance passed in.
ConfMatUnconsidered - class edu.stanford.nlp.tagger.maxent.ConfMatUnconsidered.
Builds a confusion matrix of the confusions which were not even possible to not make, because the correct tag was not in the list of tags that were tried.
ConfMatUnconsidered(String, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.ConfMatUnconsidered
 
ConfusionMatrix - class edu.stanford.nlp.tagger.maxent.ConfusionMatrix.
 
ConfusionMatrix(String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.ConfusionMatrix
 
ConfusionMatrixPlotter - class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.
Visualization utility for confusion matrices.
ConfusionMatrixPlotter.CellPlotter - class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter.
Component for drawing a single cell with a circle.
ConfusionMatrixPlotter.CellPlotter() - Constructor for class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Constructs a new CellPlotter with value=0 and labelShowing=false.
ConfusionMatrixPlotter.CellPlotter(boolean) - Constructor for class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Constructs a new CellPlotter with value=0 and the label showing or not as given.
ConfusionMatrixPlotter.CellPlotter(int) - Constructor for class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Constructs a new CellPlotter with the given value and labelShowing=false.
ConfusionMatrixPlotter.CellPlotter(int, boolean) - Constructor for class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Constructs a new CellPlotter representing the given value (count), and with the label showing or not as given.
ConfusionMatrixPlotter(JFrame, int[][]) - Constructor for class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
Constructs a new ConfusionMatrixPlotter for the given frame with the given confusion matrix of data.
ConfusionMatrixUnKnown - class edu.stanford.nlp.tagger.maxent.ConfusionMatrixUnKnown.
 
ConfusionMatrixUnKnown(String, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.ConfusionMatrixUnKnown
 
Constituent - class edu.stanford.nlp.trees.Constituent.
A Constituent object defines a generic edge in a graph.
Constituent() - Constructor for class edu.stanford.nlp.trees.Constituent
 
ConstituentFactory - interface edu.stanford.nlp.trees.ConstituentFactory.
A ConstituentFactory is a factory for creating objects of class Constituent, or some descendent class.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.Span
Return a factory for this kind of constituent.
constituents() - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
ConstrainedMinimizer - interface edu.stanford.nlp.optimization.ConstrainedMinimizer.
The interface for constrained function minimizers.
construct() - Method in class edu.stanford.nlp.util.SwingWorker
Compute the value to be returned by the get method.
contains(Feature) - Method in class edu.stanford.nlp.classify.FeatureSet
Returns true if the FeatureSet contains Feature f, and false otherwise.
contains(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
contains(Object) - Method in class edu.stanford.nlp.classify.LinkedList
 
contains(String) - Method in class edu.stanford.nlp.process.StopList
Returns true if the word is in the stoplist.
contains(Word) - Method in class edu.stanford.nlp.process.StopList
Returns true if the word is in the stoplist.
containsKey(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
containsKey(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
containsKey(int) - Method in class edu.stanford.nlp.linalg.DenseNumberArray
 
containsKey(int) - Method in class edu.stanford.nlp.linalg.DenseIntArray
 
containsKey(int) - Method in class edu.stanford.nlp.linalg.DenseDoubleArray
 
containsKey(int) - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
containsKey(int) - Method in interface edu.stanford.nlp.linalg.Array
Returns true if the array contains index key
Context - class edu.stanford.nlp.dbm.Context.
One line, with word as the first element, and it's context following it on the same line.
CONTEXT_HMM - Static variable in class edu.stanford.nlp.ie.hmm.HMM
 
Context(String) - Constructor for class edu.stanford.nlp.dbm.Context
Constructs a Context given only the context of a word (for testing contexts)
Context(String, String) - Constructor for class edu.stanford.nlp.dbm.Context
Constructs a Context given the context of a word and its label (for training contexts)
Contexts - class edu.stanford.nlp.dbm.Contexts.
Contains methods dealing with populating a DBM given a file containing one Context per line, where the word to be disambiguated is at the top of the file
Contexts(List, String) - Constructor for class edu.stanford.nlp.dbm.Contexts
 
Contexts(String) - Constructor for class edu.stanford.nlp.dbm.Contexts
Creates a collection of Contexts given a filename which contains a collection of Contexts, one per line, where the first word is the content word, and the remaining words are context words.
ContextSet - class edu.stanford.nlp.dbm.ContextSet.
A collection of word contexts that does not allow duplicate words.
ContextSet(String) - Constructor for class edu.stanford.nlp.dbm.ContextSet
Creates a ContextSet given a filename which contains a collection of Contexts.
ContextTrainer - class edu.stanford.nlp.ie.hmm.ContextTrainer.
Trains a context HMM on the contexts of the given target states, representing each target state as atomic.
continuingInputs() - Method in class edu.stanford.nlp.fsm.DFSAState
 
Convert - class edu.stanford.nlp.maxent.iis.Convert.
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
Convert() - Constructor for class edu.stanford.nlp.maxent.iis.Convert
 
convertAll1() - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
Converts all files in /u/nlp/data/senseval2/2000_data/ from Senseval-1 format to CS224N format
convertAll1(String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
Converts the files in /u/nlp/data/senseval2/2000_data/ corresponding to word word from Senseval-1 format to CS224N format
convertAll2(String, String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
Converts the files in /u/nlp/data/senseval2/2001_data to CS224N format
convertAnswers(String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
Converts a Senseval-1 answers file to a CS224N answers file.
convertAnswers(String, String, String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
Converts a Senseval-1 answers file to a CS224N answers file.
convertTest(String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
Converts Senseval-1 format test file to cs224n format test file.
convertTest(String, String, String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
Converts a Senseval-1 format test file to a cs224n format training file.
convertTrain(String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
converts Senseval-1 format training file /u/nlp/data/senseval2/2000_data/TRAIN/word.cor to cs224n format training file /u/nlp/data/senseval2/2000_data/cs224n_format/unpadded/word-unpadded.train
convertTrain(String, String, String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
converts a Senseval-1 format training file indir/word.cor to a cs224n format training file outdir/word-unpadded.train
COORD_CONJ - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
copy() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
Copy(List) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
Copy(XLabel, boolean, boolean) - Method in class edu.stanford.nlp.ie.pcfg.XLabel
Copies head and tag information from fromLabel to this label.
Copy(XRule, boolean, boolean) - Method in class edu.stanford.nlp.ie.pcfg.XRule
copies head and tag information from fromRule.
CopyTags(Tree, Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
copy label tags from fromTree to toTree.
Corpus - class edu.stanford.nlp.ie.hmm.Corpus.
Class to handle a corpus of information extraction data.
Corpus(String[]) - Constructor for class edu.stanford.nlp.ie.hmm.Corpus
 
Corpus(String, String) - Constructor for class edu.stanford.nlp.ie.hmm.Corpus
Make a Corpus from a file.
Corpus(String, String[]) - Constructor for class edu.stanford.nlp.ie.hmm.Corpus
 
Cosine - class edu.stanford.nlp.linalg.Cosine.
Cosine similarity function
Cosine() - Constructor for class edu.stanford.nlp.linalg.Cosine
 
count - Static variable in class edu.stanford.nlp.ie.pcfg.XTagSet
 
count(Observation) - Method in class edu.stanford.nlp.stats.Factor
 
count(Observation) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
count(Observation, Set) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
Counter - class edu.stanford.nlp.util.Counter.
Counts occurrences of objects.
Counter() - Constructor for class edu.stanford.nlp.util.Counter
 
countFeats - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
countOf(Object) - Method in class edu.stanford.nlp.util.Counter
 
CountTagSequences - class edu.stanford.nlp.tagger.CountTagSequences.
This class makes a table of tag bigram counts and percentages in data.
CountWrapper - class edu.stanford.nlp.tagger.maxent.CountWrapper.
 
CountWrapper() - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
 
CountWrapper(String, int, int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
 
CranDocument - class edu.stanford.nlp.dbm.CranDocument.
Stores, processes, and allows access to a Document of the format specified in the Cranfield document collection
CranDocument() - Constructor for class edu.stanford.nlp.dbm.CranDocument
 
Cranfield - class edu.stanford.nlp.dbm.Cranfield.
Contains methods dealing with populating a DBM given a file containing all Cranfield documents
Cranfield(List, String) - Constructor for class edu.stanford.nlp.dbm.Cranfield
 
Cranfield(String) - Constructor for class edu.stanford.nlp.dbm.Cranfield
Creates a Cranfield document collection given a filename which contains a collection of Cranfield articles in XML representation.
create_pr_s(Matrix) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
creates pr_s given the count matrix C(w,s)
create_pr_w_s(Matrix) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
Creates pr_w_s given the count matrix C(w,s)
createSimilarityMatrix(Similarity, Clusters) - Method in class edu.stanford.nlp.cluster.SimilarityMatrix
create a full dense matrix of similarities, where similarities(i,j) gives the similarity between the probability distribution over data of clusters i and j of Clusters c as determined by the similarity metric s
createSimilarityMatrix(Similarity, Matrix) - Method in class edu.stanford.nlp.cluster.SimilarityMatrix
create a full dense matrix of similarities, where similarities(i,j) gives the similarity between columns i and j of Matrix m as determined by the similarity metric s
createTransitions() - Method in class edu.stanford.nlp.ie.hmm.MultiStructure
 
crossingBracket(Constituent, Set) - Static method in class edu.stanford.nlp.util.KleinUtils
 
CrossValidator - class edu.stanford.nlp.classify.CrossValidator.
This class takes a probability set and does cross-validation for as many folds as desired.
CrossValidator(ProbabilitySet, int, int) - Constructor for class edu.stanford.nlp.classify.CrossValidator
The constructor requires the ProbabilitySet that contains the data, the number of folds, and the number of classes (categories).
cTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
ctrlSubjTransformedBobChris() - Static method in class edu.stanford.nlp.trees.TreeNormalizers
 
curChar - Variable in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
curChar - Variable in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
currentToken - Variable in class edu.stanford.nlp.annotation.ParseException
This is the last token that has been consumed successfully.
currentToken - Variable in class edu.stanford.nlp.ie.desc.ParseException
This is the last token that has been consumed successfully.
currentURL - Variable in class edu.stanford.nlp.web.WebSearch
When getNextPage() is called, the url that is accessed is copied here as a fully specified url, e.g., http://www.foo.bar/dir/
cWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
cWordDash - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordMidUCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordNumber - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordPref1 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordPref2 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordPref3 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordPref4 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordStartUCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordSuff1 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordSuff2 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordSuff3 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordSuff4 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordUppCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 

D

DanBobChrisTreeNormalizer - class edu.stanford.nlp.trees.DanBobChrisTreeNormalizer.
Normalizes trees roughly the way used in Manning and Carpenter 1997.
DanBobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.DanBobChrisTreeNormalizer
 
data - Variable in class edu.stanford.nlp.dbm.AbstractDataCollection
 
data - Variable in class edu.stanford.nlp.maxent.iis.Problem
This is the training data.
Data - class edu.stanford.nlp.maxent.iis.Data.
 
Data(int) - Constructor for class edu.stanford.nlp.maxent.iis.Data
 
DataCollection - interface edu.stanford.nlp.dbm.DataCollection.
Interface for data collections.
DataDouble - class edu.stanford.nlp.maxent.iis.DataDouble.
 
DataDouble(double[], int) - Constructor for class edu.stanford.nlp.maxent.iis.DataDouble
 
DataDouble(int) - Constructor for class edu.stanford.nlp.maxent.iis.DataDouble
 
DataGenerator - class edu.stanford.nlp.ie.pnp.DataGenerator.
Creates training/test/answer files from input files.
DataGenerator.Example - class edu.stanford.nlp.ie.pnp.DataGenerator.Example.
Stores a category number and an example text.
DataGenerator.Example(int, String) - Constructor for class edu.stanford.nlp.ie.pnp.DataGenerator.Example
Constructs a new Example with the given category and text.
DataGenerator(String[]) - Constructor for class edu.stanford.nlp.ie.pnp.DataGenerator
Constructs a new DataGenerator with the given args.
DataGeneric - class edu.stanford.nlp.maxent.iis.DataGeneric.
 
DataGeneric() - Constructor for class edu.stanford.nlp.maxent.iis.DataGeneric
 
dataIndices() - Method in class edu.stanford.nlp.cluster.HardCluster
Returns an array of indices of the data that are contained in this cluster
datamatrix - Variable in class edu.stanford.nlp.dbm.FileDataCollection
 
datamatrix - Variable in class edu.stanford.nlp.dbm.AbstractDataCollection
 
DataMatrix - class edu.stanford.nlp.dbm.DataMatrix.
Class with methods to construct a DataMatrix (such as a term-document matrix), from the initial Objects (such as Documents).
dataMatrix() - Method in class edu.stanford.nlp.dbm.FileDataCollection
gets the feature matrix
dataMatrix() - Method in class edu.stanford.nlp.dbm.AbstractDataCollection
returns the data matrix
dataMatrix() - Method in interface edu.stanford.nlp.dbm.DataCollection
returns the feature matrix
DataMatrix() - Constructor for class edu.stanford.nlp.dbm.DataMatrix
 
DataSet - class edu.stanford.nlp.dbm.DataSet.
A Data Collection that does not allow duplicate data.
DataSet(String) - Constructor for class edu.stanford.nlp.dbm.DataSet
Creates a DataSet given a filename which contains a collection of DataSet articles in XML representation.
DataString - class edu.stanford.nlp.maxent.iis.DataString.
 
DataWordTag - class edu.stanford.nlp.tagger.maxent.DataWordTag.
 
DataWordTag() - Constructor for class edu.stanford.nlp.tagger.maxent.DataWordTag
 
DataWordTag(History, int) - Constructor for class edu.stanford.nlp.tagger.maxent.DataWordTag
 
DataWordTag(History, String) - Constructor for class edu.stanford.nlp.tagger.maxent.DataWordTag
 
Datum - interface edu.stanford.nlp.dbm.Datum.
Interface for Objects which can be described by their features.
db - Variable in class edu.stanford.nlp.cluster.AbstractClusteringMethod
document database
Dbg - class edu.stanford.nlp.util.Dbg.
This class now combines two sets of debugging calls: Chris': Centralize the debugging print-outs, and make them more efficient when turned off at runtime.
Dbg() - Constructor for class edu.stanford.nlp.util.Dbg
 
DBIndexedSet - class edu.stanford.nlp.dbm.DBIndexedSet.
Implementation of IndexedSet which uses a List and a SimpleDatabase: the List to store index-object pairs, and the SimpleDatabase to store object-index pairs
DBIndexedSet(List, SimpleDatabase) - Constructor for class edu.stanford.nlp.dbm.DBIndexedSet
 
debug - Variable in class edu.stanford.nlp.stats.SimpleStatistics
 
DEBUG - class edu.stanford.nlp.ie.pcfg.DEBUG.
 
DEBUG() - Constructor for class edu.stanford.nlp.ie.pcfg.DEBUG
 
debugStream - Variable in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
debugStream - Variable in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
DEC_COMMA_NUM - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
DEC_NUM - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
decreaseKey(Object) - Method in class edu.stanford.nlp.util.ScoredPriorityAgenda
 
decreaseKey(Object) - Method in interface edu.stanford.nlp.util.Heap
Raises the priority of an object in the heap.
decreaseKey(Object) - Method in class edu.stanford.nlp.util.ArrayHeap
Changes the position of an element o in the heap based on a change in the ordering of o.
deepCopy() - Method in class edu.stanford.nlp.trees.Tree
Create a deep copy of the tree.
deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Create a deep copy of the tree.
DEFAULT - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
DEFAULT - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
defaultStates() - Static method in class edu.stanford.nlp.ie.hmm.Structure
 
delim - Static variable in class edu.stanford.nlp.ie.pcfg.XLabel
the delimiter used to separate a label type from its head word
DenseDoubleArray - class edu.stanford.nlp.linalg.DenseDoubleArray.
An Array wrapper for an array of doubles.
DenseDoubleArray(double[]) - Constructor for class edu.stanford.nlp.linalg.DenseDoubleArray
 
DenseDoubleArray(int) - Constructor for class edu.stanford.nlp.linalg.DenseDoubleArray
 
DenseIntArray - class edu.stanford.nlp.linalg.DenseIntArray.
Array wrapper for integer array
DenseIntArray(int) - Constructor for class edu.stanford.nlp.linalg.DenseIntArray
 
DenseIntArray(int[]) - Constructor for class edu.stanford.nlp.linalg.DenseIntArray
 
DenseNumberArray - class edu.stanford.nlp.linalg.DenseNumberArray.
An Array wrapper for an array of Numbers.
DenseNumberArray(int) - Constructor for class edu.stanford.nlp.linalg.DenseNumberArray
 
DenseNumberArray(Number[]) - Constructor for class edu.stanford.nlp.linalg.DenseNumberArray
 
DenseSNDArray - class edu.stanford.nlp.linalg.DenseSNDArray.
An Array wrapper for an array of ScientificNotationDoubles
DenseSNDArray(int) - Constructor for class edu.stanford.nlp.linalg.DenseSNDArray
 
DenseSNDArray(Number[]) - Constructor for class edu.stanford.nlp.linalg.DenseSNDArray
 
DependencyGrammar.EndHead - class edu.stanford.nlp.parser.lexparser.DependencyGrammar.EndHead.
 
DependencyGrammar.EndHead() - Constructor for class edu.stanford.nlp.parser.lexparser.DependencyGrammar.EndHead
 
depth() - Method in class edu.stanford.nlp.trees.Tree
Finds the depth of the tree.
derivativeAt(double[]) - Method in class edu.stanford.nlp.ie.hmm.DiscriminativeHMMDiffFunction
Returns the first-derivative vector at the input location.
derivativeAt(double[]) - Method in interface edu.stanford.nlp.optimization.DiffFunction
Returns the first-derivative vector at the input location.
DESCENDING - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
DescExtractor - class edu.stanford.nlp.ie.desc.DescExtractor.
Implements a SingleFieldExtractor that attempts to extract a general description or descraphical information from the text.
DescExtractor() - Constructor for class edu.stanford.nlp.ie.desc.DescExtractor
Creates a free text descriptive summary extractor.
DescExtractorCreator - class edu.stanford.nlp.ie.desc.DescExtractorCreator.
Creates and serializes a DescExtractor.
DescExtractorTest - class edu.stanford.nlp.ie.desc.DescExtractorTest.
Command-line tool to test the description extractor.
DescExtractorTest(String, String, File, String) - Constructor for class edu.stanford.nlp.ie.desc.DescExtractorTest
 
descriptor() - Method in class edu.stanford.nlp.stats.AbstractDistribution
 
descriptor() - Method in interface edu.stanford.nlp.stats.Measure
 
descriptor() - Method in interface edu.stanford.nlp.stats.Distribution
 
DET - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
determineHead(Tree) - Method in class edu.stanford.nlp.trees.SepHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.ModCollinsHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.CollinsSemanticHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.CollinsHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.ChelbaHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
Determine which daughter of the current parse tree is the head.
dfsa - Variable in class edu.stanford.nlp.fsm.DFSAState
 
DFSA - class edu.stanford.nlp.fsm.DFSA.
DFSA Class for representing a deterministic finite state automaton without epsilon transitions.
dfsa() - Method in class edu.stanford.nlp.fsm.DFSAState
 
DFSA(DFSAState) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
DFSA(DFSAState, double) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
DFSA(Object) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
DFSAGrammar - class edu.stanford.nlp.lexgram.DFSAGrammar.
Implements a grammar as a DFSA
DFSAGrammar() - Constructor for class edu.stanford.nlp.lexgram.DFSAGrammar
 
DFSAMinimizer - class edu.stanford.nlp.fsm.DFSAMinimizer.
DFSAMinimizer Class for minimizing (unweighted) deterministic finite state automata.
DFSAMinimizer() - Constructor for class edu.stanford.nlp.fsm.DFSAMinimizer
 
DFSARule - class edu.stanford.nlp.lexgram.DFSARule.
DFSARule: Represents a rewrite rule via a DFSA
DFSAState - class edu.stanford.nlp.fsm.DFSAState.
DFSAState Class for representing the state of a deterministic finite state automaton without epsilon transitions.
DFSAState(String, DFSA) - Constructor for class edu.stanford.nlp.fsm.DFSAState
 
DFSATransition - class edu.stanford.nlp.fsm.DFSATransition.
(D)FSA Transition Class for representing a transition in a weighted finite state transducer.
DFSATransition(Object, DFSAState, DFSAState, Object, Object, double) - Constructor for class edu.stanford.nlp.fsm.DFSATransition
 
Dictionary - class edu.stanford.nlp.tagger.maxent.Dictionary.
 
Dictionary() - Constructor for class edu.stanford.nlp.tagger.maxent.Dictionary
 
DiffFunction - interface edu.stanford.nlp.optimization.DiffFunction.
An interface for once-differentiable double-valued functions over double arrays.
diffString(Tree, Tree) - Static method in class edu.stanford.nlp.parser.Tdiff
 
DIGIT - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
disable_tracing() - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
disable_tracing() - Method in class edu.stanford.nlp.ie.desc.Chunker
 
discoverEdge(Edge) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
DiscriminativeHMMDiffFunction - class edu.stanford.nlp.ie.hmm.DiscriminativeHMMDiffFunction.
Interface to optimization package for discriminatively learning the structure of an HMM.
DiscriminativeHMMDiffFunction() - Constructor for class edu.stanford.nlp.ie.hmm.DiscriminativeHMMDiffFunction
 
DisjointSet - interface edu.stanford.nlp.util.DisjointSet.
Disjoint Set: It's the disjoint set interface.
Disjunction(List, List) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets the disjunction of the two "sets", list1 and list2.
DiskSentencebank - class edu.stanford.nlp.trees.DiskSentencebank.
A DiskSentencebank object stores merely the information to get at a corpus of sentences that is stored on disk.
DiskSentencebank() - Constructor for class edu.stanford.nlp.trees.DiskSentencebank
Create a new DiskSentencebank.
DiskSentencebank(int) - Constructor for class edu.stanford.nlp.trees.DiskSentencebank
Create a new Sentencebank.
DiskSentencebank(int, SentenceReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskSentencebank
Create a new Sentencebank.
DiskSentencebank(SentenceReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskSentencebank
Create a new DiskSentencebank.
DiskTreebank - class edu.stanford.nlp.trees.DiskTreebank.
A DiskTreebank object stores merely the information to get at a corpus of trees that is stored on disk.
DiskTreebank() - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
DiskTreebank(int) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new Treebank.
DiskTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new Treebank.
DiskTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
display(boolean) - Method in class edu.stanford.nlp.parser.oldparser.ParseEval
 
distance(Array) - Method in class edu.stanford.nlp.linalg.AbstractArray
 
distance(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns Euclidean distance from this to other
distance(Array, Array) - Method in class edu.stanford.nlp.linalg.AbstractMetric
returns the distance between i and j according to the metric defined in this class
distance(Array, Array) - Method in interface edu.stanford.nlp.linalg.Metric
returns the distance between i and j according to the metric defined in this class
Distribution - interface edu.stanford.nlp.stats.Distribution.
read-only interface for discrete probability distributions
DistributionDescriptor - interface edu.stanford.nlp.stats.DistributionDescriptor.
interface for discrete statistics modules
distributionOver(DistributionDescriptor) - Method in interface edu.stanford.nlp.stats.Statistics
 
distributionOver(DistributionDescriptor) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
distributionsOver(DistributionDescriptor, Set) - Method in interface edu.stanford.nlp.stats.Statistics
 
distributionsOver(DistributionDescriptor, Set) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
divide(Array) - Method in class edu.stanford.nlp.linalg.AbstractArray
returns componentwise divide: this/dividend
divide(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns componentwise divide: this/dividend
divide(double) - Method in class edu.stanford.nlp.linalg.AbstractArray
scalar divide
divide(double) - Method in interface edu.stanford.nlp.linalg.Array
Scalar divide
divide(ScientificNotationDouble) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
DKL(ATable) - Method in class edu.stanford.nlp.mt.ATable
 
DKL(ATable) - Method in class edu.stanford.nlp.mt.ATableHMM
 
DKL(ATableHMM) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
DKL(ATableHMM) - Method in class edu.stanford.nlp.mt.ATableHMM2
 
Document - interface edu.stanford.nlp.dbm.Document.
Represents a text document as a list of Words with a title.
domainDimension() - Method in class edu.stanford.nlp.ie.hmm.DiscriminativeHMMDiffFunction
Returns the number of dimensions in the function's domain
domainDimension() - Method in interface edu.stanford.nlp.optimization.Function
Returns the number of dimensions in the function's domain
Done() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
Done() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
doSearch(String, int, boolean) - Method in class edu.stanford.nlp.web.WebSearch
Performs the actual web search.
DoSlyTricks(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
 
DOT_WORD - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
dot(Array) - Method in class edu.stanford.nlp.linalg.AbstractArray
return dot product of this with other Operates on cells at indexes 0 ..
dot(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns dot product of this with other
DOTPLUS - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
Double4Function - interface edu.stanford.nlp.math.Double4Function.
interface for functions which take four doubles as arguments, and return a double
doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
doubleArrToByteArr(double[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
DoubleIntHolder - class edu.stanford.nlp.mt.DoubleIntHolder.
 
DoubleIntHolder() - Constructor for class edu.stanford.nlp.mt.DoubleIntHolder
 
DoubleIntHolder(double, int) - Constructor for class edu.stanford.nlp.mt.DoubleIntHolder
 
doubleValue() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
drawCell(Graphics2D) - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Fills in the background, draws the circle, then optionally draws the label.
drawCircle(Graphics2D) - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Draws the circle centered in the cell.
drawLabel(Graphics2D) - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Draws the label (with the number of the value) on the cell.
DSDataMatrix - class edu.stanford.nlp.dbm.DSDataMatrix.
DataMatrix for a DataSet, where duplicate Data are not allowed.
DSDataMatrix(GrowableMatrix, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.DSDataMatrix
 
DSDataMatrix(String, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.DSDataMatrix
 
DummyDB - class edu.stanford.nlp.database.DummyDB.
Database class which does nothing
DummyDB() - Constructor for class edu.stanford.nlp.database.DummyDB
 
dump() - Method in class edu.stanford.nlp.util.ArrayHeap
 
dumpChart() - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
dumpWrong(ArrayList, double[]) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
Print out the correct tree with all that have higher probability

E

EAlgebra - class edu.stanford.nlp.linalg.EAlgebra.
Extends cern.colt.matrix.linalg.Algebra to add some functions that are useful in NLP.
EAlgebra() - Constructor for class edu.stanford.nlp.linalg.EAlgebra
 
edense - Static variable in class edu.stanford.nlp.linalg.EDoubleFactory2D
A factory producing dense matrices.
Edge - class edu.stanford.nlp.parser.oldparser.Edge.
Edge Class for representing the edges in a chart parser.
EdgeInterner - class edu.stanford.nlp.parser.oldparser.EdgeInterner.
Edge Interner: Class for interning edges.
EdgeOutsideEstimator - interface edu.stanford.nlp.parser.oldparser.EdgeOutsideEstimator.
Edge Outside Estimator Interface for giving outside Viterbi estimates for edges.
edgesToFinishedEdges - Variable in class edu.stanford.nlp.parser.oldparser.Chart
 
EDoubleFactory2D - class edu.stanford.nlp.linalg.EDoubleFactory2D.
Extends cern.colt.matrix.DoubleFactory2D to add some functions that are useful in NLP.
EDoubleFactory2D() - Constructor for class edu.stanford.nlp.linalg.EDoubleFactory2D
 
edu.stanford.nlp.annotation - package edu.stanford.nlp.annotation
A simple markup annotator, originally designed for producing training data for supervised information extraction systems.
edu.stanford.nlp.classification.internal - package edu.stanford.nlp.classification.internal
 
edu.stanford.nlp.classify - package edu.stanford.nlp.classify
Data Structures and Algorithms for Classification.
edu.stanford.nlp.cluster - package edu.stanford.nlp.cluster
Data Structures and Algorithms for Clustering Data.
edu.stanford.nlp.database - package edu.stanford.nlp.database
Contains classes for lightweight key-value databases.
edu.stanford.nlp.dbm - package edu.stanford.nlp.dbm
Classes for building and operating on documents and data collections.
edu.stanford.nlp.fsm - package edu.stanford.nlp.fsm
Old finite state machine implementation -- will be replaced with the future graphs package.
edu.stanford.nlp.ie - package edu.stanford.nlp.ie
This package implements various subpackages for information extraction.
edu.stanford.nlp.ie.desc - package edu.stanford.nlp.ie.desc
A few classes for extraction of descriptions of a person or thing.
edu.stanford.nlp.ie.hmm - package edu.stanford.nlp.ie.hmm
A package implementing HMMs for the purpose of information extraction.
edu.stanford.nlp.ie.merge - package edu.stanford.nlp.ie.merge
This package is for methods that merge the partial or conflicting results of several information extraction components.
edu.stanford.nlp.ie.pcfg - package edu.stanford.nlp.ie.pcfg
A package that implements information extraction via PCFGs.
edu.stanford.nlp.ie.pnp - package edu.stanford.nlp.ie.pnp
Character-based classifier and generator for proper noun phrases (PNPs).
edu.stanford.nlp.ie.regexp - package edu.stanford.nlp.ie.regexp
A couple of classes for regular expression based pattern matching and regular expression.
edu.stanford.nlp.ie.test - package edu.stanford.nlp.ie.test
A couple of classes for command-line testing of information extraction tools, and various test scripts and files.
edu.stanford.nlp.io - package edu.stanford.nlp.io
A few classes that augment the java.io package in useful ways for our applications.
edu.stanford.nlp.lexgram - package edu.stanford.nlp.lexgram
Old grammar, lexicon, and associated Treebank extractors for the old parser.
edu.stanford.nlp.linalg - package edu.stanford.nlp.linalg
Data Structures for vectors and matrices, including wrappers for other packages, such as cern's COLT package.
edu.stanford.nlp.math - package edu.stanford.nlp.math
Classes for Simple Math Functionality, such as Min, Max, WeightedAverage, Scientific Notation, etc.
edu.stanford.nlp.maxent.iis - package edu.stanford.nlp.maxent.iis
This package contains an implementation of Improved Iterative Scaling.
edu.stanford.nlp.mt - package edu.stanford.nlp.mt
 
edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
Numerical optimization, including a conjugate gradient implementation.
edu.stanford.nlp.parser - package edu.stanford.nlp.parser
This package contains an implementation of a (probabilistic) chart parser.
edu.stanford.nlp.parser.lexparser - package edu.stanford.nlp.parser.lexparser
The medium-old lexical parser, including a just-add-Treebank wrapper.
edu.stanford.nlp.parser.oldparser - package edu.stanford.nlp.parser.oldparser
 
edu.stanford.nlp.process - package edu.stanford.nlp.process
Contains classes for processing documents.
edu.stanford.nlp.redwoods - package edu.stanford.nlp.redwoods
 
edu.stanford.nlp.stats - package edu.stanford.nlp.stats
Statistics tracking code.
edu.stanford.nlp.tagger - package edu.stanford.nlp.tagger
This is designed as a home for taggers.
edu.stanford.nlp.tagger.maxent - package edu.stanford.nlp.tagger.maxent
Maximum Entropy Part-Of-Speech Tagger.
edu.stanford.nlp.trees - package edu.stanford.nlp.trees
A package for (NLP) trees, sentences, and similar things.
edu.stanford.nlp.util - package edu.stanford.nlp.util
Assorted utilities: Heaps, Counters, Mutable Numbers, Scored/Weighted.
edu.stanford.nlp.web - package edu.stanford.nlp.web
This package contains classes for web access.
edu.stanford.nlp.wsd - package edu.stanford.nlp.wsd
Currently, contains classes that tranform CS224N WSD Bakeoff File formats to Senseval File formats.
eFrames - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
eFrames - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
eHasTags() - Method in class edu.stanford.nlp.mt.SentenceHandler
 
em_loop_2_beam(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
Trigram HMM alignment .
em_loop_2_eq(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
Trigram HMM alignment when we have classes for the previous jump and not all -30 to 30
em_loop_2(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
Trigram HMM alignment
em_loop_etags(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
 
em_loop_etagsA(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
 
em_loop_ftagsA(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
 
em_loop_mnull(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
 
em_loop_right(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
 
em_loop_sg(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.HMM
 
em_loop(boolean, PrintStream) - Method in class edu.stanford.nlp.mt.Model1
 
em_loop(boolean, PrintStream, TupleCounter) - Method in class edu.stanford.nlp.mt.HMM
 
EMAIL_WORD - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
emit - Variable in class edu.stanford.nlp.ie.hmm.State
 
EmitMap - interface edu.stanford.nlp.ie.hmm.EmitMap.
Interface to model a states emission distribution.
EMPTIES_OFF - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Do not place empty nodes in the chart
EMPTIES_ON - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Place an empty (edu.stanford.nlp.trees.Word.EMPTY at each chart vertex, so that rules with empties on the RHS will parse.
EMPTY - Static variable in class edu.stanford.nlp.trees.Word
Word representation of an empty.
EMPTYSTRING - Static variable in class edu.stanford.nlp.trees.Category
The empty category.
EMPTYSTRING - Static variable in class edu.stanford.nlp.trees.Word
String representation of an empty.
enable_tracing() - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
enable_tracing() - Method in class edu.stanford.nlp.ie.desc.Chunker
 
end - Variable in class edu.stanford.nlp.parser.lexparser.DependencyGrammar.EndHead
 
END - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
END_STATE - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
END_SYMBOL - Static variable in class edu.stanford.nlp.ie.pnp.PnpClassifier
 
END_SYMBOL - Static variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access end node.
end() - Method in class edu.stanford.nlp.trees.Constituent
access end node.
endColumn - Variable in class edu.stanford.nlp.annotation.Token
beginLine and beginColumn describe the position of the first character of this token; endLine and endColumn describe the position of the last character of this token.
endElement(String, String, String) - Method in class edu.stanford.nlp.classify.ScoreHandler
 
endElement(String, String, String) - Method in class edu.stanford.nlp.classify.MedlineHandler
 
endElement(String, String, String) - Method in class edu.stanford.nlp.wsd.SensevalOutput
 
endLine - Variable in class edu.stanford.nlp.annotation.Token
beginLine and beginColumn describe the position of the first character of this token; endLine and endColumn describe the position of the last character of this token.
endSentenceToken(String, String, String) - Method in class edu.stanford.nlp.trees.PennSentenceNormalizer
Returns true if this token represents the end of a sentence.
endSentenceToken(String, String, String) - Method in class edu.stanford.nlp.trees.SentenceNormalizer
Returns true if this token represents the end of a sentence.
endTime() - Static method in class edu.stanford.nlp.util.Timing
Print how long the timed operation took.
endTime(String) - Static method in class edu.stanford.nlp.util.Timing
Print how long the timed operation took.
ensureProperBase() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
ensures that the base of the ScientificNotationDouble is >=1 and <10.
entropy() - Method in class edu.stanford.nlp.stats.AbstractDistribution
 
entropy() - Method in interface edu.stanford.nlp.stats.Distribution
 
Entry - class edu.stanford.nlp.linalg.Entry.
Stores and allows access to single entry in a vector or matrix.
Entry(int, double) - Constructor for class edu.stanford.nlp.linalg.Entry
constructor for a column vector entry A(i).
Entry(int, int) - Constructor for class edu.stanford.nlp.linalg.Entry
constructor for a column vector entry A(i).
Entry(int, int, double) - Constructor for class edu.stanford.nlp.linalg.Entry
constructor for a Matrix entry M(i,j)
Entry(int, int, int) - Constructor for class edu.stanford.nlp.linalg.Entry
constructor for a Matrix entry M(i,j)
Entry(int, int, Number) - Constructor for class edu.stanford.nlp.linalg.Entry
constructor for a Matrix entry M(i,j)
Entry(int, Number) - Constructor for class edu.stanford.nlp.linalg.Entry
constructor for a column vector entry A(i).
entryIterator() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
returns iterator over all Entries in matrix.
entryIterator() - Method in interface edu.stanford.nlp.linalg.Matrix
iterator: returns iterator over all Entries in matrix.
entrySet() - Method in class edu.stanford.nlp.linalg.AbstractArray
 
entrySet() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
returns Set of all entries in matrix for sparse matrices, returns set of all nonzero entries in matrix
entrySet() - Method in interface edu.stanford.nlp.linalg.Array
Returns a set view of the Entries contained in this array.
entrySet() - Method in interface edu.stanford.nlp.linalg.Matrix
returns set of all Entries in matrix
entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
 
EOF - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
EOF - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
eol - Variable in class edu.stanford.nlp.annotation.ParseException
The end of line string for this machine.
eol - Variable in class edu.stanford.nlp.ie.desc.ParseException
The end of line string for this machine.
eolIsSentenceEnd() - Method in class edu.stanford.nlp.trees.OnePerLineSentenceNormalizer
This function can be checked by a SentenceReader so as to know whether an end-of-line is always to be treated as an end-of-sentence.
eolIsSentenceEnd() - Method in class edu.stanford.nlp.trees.SentenceNormalizer
This function can be checked by a SentenceReader so as to know whether an end-of-line is always to be treated as an end-of-sentence.
Epr_z_dw(int, int, int) - Method in class edu.stanford.nlp.cluster.PLSI
Expectation Step: calculates posterior probabilities for latent variables z based on current estimates of parameters.
eps - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
equals(Clusters) - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Returns true of cs==this, false otherwise
equals(Clusters) - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Returns true of cs==this, false otherwise
equals(History, History) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
equals(Object) - Method in class edu.stanford.nlp.classify.Feature
Returns true if f is equal to me
equals(Object) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
equals(Object) - Method in interface edu.stanford.nlp.cluster.Cluster
Implements equality test.
equals(Object) - Method in class edu.stanford.nlp.fsm.DFSAState
 
equals(Object) - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker.Range
Returns true iff the given object is a Range with the same from and to as this Range.
equals(Object) - Method in class edu.stanford.nlp.ie.pcfg.LookupRule
 
equals(Object) - Method in class edu.stanford.nlp.ie.pcfg.XLabel
Checks whether two labels are equal
equals(Object) - Method in class edu.stanford.nlp.lexgram.SimpleRule
 
equals(Object) - Method in class edu.stanford.nlp.linalg.Entry
 
equals(Object) - Method in interface edu.stanford.nlp.linalg.Array
Returns true if o==this
equals(Object) - Method in class edu.stanford.nlp.mt.WordExPair
 
equals(Object) - Method in class edu.stanford.nlp.mt.IntTriple
 
equals(Object) - Method in class edu.stanford.nlp.mt.IntQuadruple
 
equals(Object) - Method in class edu.stanford.nlp.mt.IntPair
 
equals(Object) - Method in class edu.stanford.nlp.mt.Word
 
equals(Object) - Method in class edu.stanford.nlp.parser.oldparser.Traversal
 
equals(Object) - Method in class edu.stanford.nlp.stats.HashObservation
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.WordTag
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.History
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
equals(Object) - Method in class edu.stanford.nlp.trees.AbstractLabel
Equality for Labels is defined in the first instance as equality of their String value().
equals(Object) - Method in class edu.stanford.nlp.trees.Constituent
Compare with another Object for equality.
equals(Object) - Method in class edu.stanford.nlp.util.UnorderedPair
 
equals(Object) - Method in class edu.stanford.nlp.util.ScoredComparator
 
equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
equals(Object) - Method in class edu.stanford.nlp.util.MutableInteger
 
equals(Object) - Method in class edu.stanford.nlp.util.Pair
 
equals(Span) - Method in class edu.stanford.nlp.trees.Span
An overloading for efficiency for when you know that you're comparing with a Span.
equals(WordPair) - Method in class edu.stanford.nlp.mt.WordPair
 
erase(IntPair) - Method in class edu.stanford.nlp.mt.TTable
 
erase(Object) - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
ERROR - Static variable in class edu.stanford.nlp.util.Dbg
 
error(SAXParseException) - Method in class edu.stanford.nlp.classify.ScoreHandler
Error.
error(SAXParseException) - Method in class edu.stanford.nlp.classify.MedlineHandler
Error.
error(SAXParseException) - Method in class edu.stanford.nlp.wsd.SensevalOutput
Error.
ErrorTags - class edu.stanford.nlp.tagger.maxent.ErrorTags.
 
ErrorTags(String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.ErrorTags
 
ESCAPE_CHARACTER - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
esparse - Static variable in class edu.stanford.nlp.linalg.EDoubleFactory2D
A factory producing sparse hash matrices.
estimate(Edge, Sentence) - Method in class edu.stanford.nlp.parser.oldparser.NullEdgeOutsideEstimator
Gives the trivial outside estimate (zero).
estimate(Edge, Sentence) - Method in interface edu.stanford.nlp.parser.oldparser.EdgeOutsideEstimator
Gives an estimate of the cost of a best parse of s containing e, excluding the cost below e.
evaluate(DataCollection, int) - Method in interface edu.stanford.nlp.cluster.ClusteringMethod
Performs clustering algorithm and returns the score of the resulting clusters.
evaluate(DataCollection, int) - Method in class edu.stanford.nlp.cluster.AbstractClusteringMethod
 
evaluate(DataCollection, int, String) - Method in interface edu.stanford.nlp.cluster.ClusteringMethod
Performs clustering algorithm, prints resulting clusters to file, and returns the score of the clusters.
evaluate(DataCollection, int, String) - Method in class edu.stanford.nlp.cluster.AbstractClusteringMethod
 
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.oldparser.ParseEval
 
evaluateInterSimilarity(Array[]) - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Evaluates InterCluster Similarity.
evaluateInterSimilarity(Array[]) - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Evaluates InterCluster Similarity.
evaluateIntraSimilarity(Matrix, Array) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
evaluateIntraSimilarity(Matrix, Array) - Method in interface edu.stanford.nlp.cluster.Cluster
Evaluates the cohesiveness of Cluster A low value reflects a cohesive cluster, and a high value reflects a scattered cluster;
evaluateMeans() - Method in class edu.stanford.nlp.cluster.Kmeans
Evaluates the means of each cluster
evaluateWeightedMean(Matrix) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
evaluateWeightedMean(Matrix) - Method in interface edu.stanford.nlp.cluster.Cluster
Evaluates weighted mean of columns in Matrix m.
Exp(double, double) - Static method in class edu.stanford.nlp.ie.pcfg.Util
calculates a ^ b.
Exp(int, int) - Static method in class edu.stanford.nlp.ie.pcfg.Util
calculates a ^ b.
expandModel(String, String, int) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
 
expectedTokenSequences - Variable in class edu.stanford.nlp.annotation.ParseException
Each entry in this array is an array of integers.
expectedTokenSequences - Variable in class edu.stanford.nlp.ie.desc.ParseException
Each entry in this array is an array of integers.
Experiment - class edu.stanford.nlp.maxent.iis.Experiment.
An object of this class is an experiment (x,y) , a single training sample.
Experiments - class edu.stanford.nlp.maxent.iis.Experiments.
This class represents the training samples.
Experiments() - Constructor for class edu.stanford.nlp.maxent.iis.Experiments
 
Experiments(int[][]) - Constructor for class edu.stanford.nlp.maxent.iis.Experiments
 
Experiments(int[][], int) - Constructor for class edu.stanford.nlp.maxent.iis.Experiments
 
Experiments(String) - Constructor for class edu.stanford.nlp.maxent.iis.Experiments
The filename has format: xSizeySize x1 y1 x2 y2 ..
exSize - Variable in class edu.stanford.nlp.maxent.iis.Problem
 
ExtensionFileFilter - class edu.stanford.nlp.io.ExtensionFileFilter.
Implements a file filter that uses file extensions to filter files.
ExtensionFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
Sets up Extension file filter by specifying an extension to accept (currently only 1) and whether to also display folders for recursive search.
extract(int, History) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
extract using the i-th extractor
extract(String, String) - Method in class edu.stanford.nlp.ie.desc.DescExtractor
 
ExtractDemo - class edu.stanford.nlp.ie.ExtractDemo.
This is a simple GUI front end that demonstrates the basic functionality of the information extraction packages.
ExtractDemo() - Constructor for class edu.stanford.nlp.ie.ExtractDemo
 
ExtractDemo(String, String, String) - Constructor for class edu.stanford.nlp.ie.ExtractDemo
 
extractField(Instance, String) - Method in class edu.stanford.nlp.ie.desc.DescExtractor
Trawls through the text and concats relevant sentences together based on the target keywords specified.
extractField(Instance, String) - Method in class edu.stanford.nlp.ie.SingleFieldExtractor
Subclasses should override this method to perform extraction from the given text.
extractField(Instance, String) - Method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
Subclasses should override this method to perform extraction from the given text.
extractField(Instance, String) - Method in class edu.stanford.nlp.ie.regexp.RegexpExtractor
Returns the first matching stretch of text in the given text, or null, if none is found.
extractField(Instance, String, Confidence) - Method in class edu.stanford.nlp.ie.SingleFieldExtractor
Subclasses that support confidence rankings on extraction results should override this method, otherwise a default -1 ranking will be given as the Confidence ranking.
extractFields(Instance, String) - Method in class edu.stanford.nlp.ie.SingleFieldExtractor
Returns the given Instance with the extracted field (if any) inserted.
extractFields(Instance, String) - Method in interface edu.stanford.nlp.ie.FieldExtractor
Returns the given Instance with (potentially) additional fields extracted from the given text.
extractFields(Instance, String) - Method in class edu.stanford.nlp.ie.regexp.RegexpsFieldExtractor
Returns the given Instance with the extractable fields (if any) inserted.
extractFields(Instance, String, Confidence) - Method in class edu.stanford.nlp.ie.SingleFieldExtractor
Identical to extractFields(Instance,String) except that a Confidence object is expected.
extractFields(Instance, String, Confidence) - Method in interface edu.stanford.nlp.ie.RankedExtractor
Returns the given Instance with (potentially) additional fields extracted from the given text.
extractFields(Instance, String, Confidence) - Method in class edu.stanford.nlp.ie.AbstractFieldExtractor
The one method for compliance with the RankedExtractor interface.
extractFrom(String) - Method in class edu.stanford.nlp.ie.desc.DescExtractorTest
Extract from the named file
extractFrom(String) - Method in class edu.stanford.nlp.ie.hmm.HMM
Calls extractFrom(s,false).
extractFrom(String) - Method in class edu.stanford.nlp.ie.test.ExtractorTest
Extract from the named file
extractFrom(String, boolean) - Method in class edu.stanford.nlp.ie.hmm.HMM
Returns the best guess of the extracted field from s as a String.
extractMin() - Method in interface edu.stanford.nlp.util.Heap
Returns the minimum object, then removes that object from the heap.
extractMin() - Method in class edu.stanford.nlp.util.ArrayHeap
Finds the object with the minimum key, removes it from the heap, and returns it.
Extractor - class edu.stanford.nlp.ie.hmm.Extractor.
A command line information extraction tool built using the HMM and Corpus classes.
Extractor - class edu.stanford.nlp.tagger.maxent.Extractor.
This class serves as the base class for classes which extract relevant information from a history to give it to the features.
Extractor() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
 
Extractor(int, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
This constructor creates an extractor which extracts either the tag or the word from position position in the history.
ExtractorAllTaggerOutputs - class edu.stanford.nlp.tagger.maxent.ExtractorAllTaggerOutputs.
 
ExtractorAllTaggerOutputs() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorAllTaggerOutputs
 
ExtractorFollowing2WClass - class edu.stanford.nlp.tagger.maxent.ExtractorFollowing2WClass.
 
ExtractorFollowing2WClass() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorFollowing2WClass
 
ExtractorFollowingWClass - class edu.stanford.nlp.tagger.maxent.ExtractorFollowingWClass.
 
ExtractorFollowingWClass(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorFollowingWClass
 
ExtractorFrames - class edu.stanford.nlp.tagger.maxent.ExtractorFrames.
This is an important class for the tagger.
ExtractorFramesRare - class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare.
 
ExtractorFramesRare() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
ExtractorLastVerb - class edu.stanford.nlp.tagger.maxent.ExtractorLastVerb.
 
ExtractorLastVerb() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorLastVerb
 
ExtractorLVdist - class edu.stanford.nlp.tagger.maxent.ExtractorLVdist.
 
ExtractorLVdist() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorLVdist
 
ExtractorMorpho - class edu.stanford.nlp.tagger.maxent.ExtractorMorpho.
 
ExtractorMorpho(int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorMorpho
 
ExtractorMorpho(int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorMorpho
 
ExtractorOutputTag - class edu.stanford.nlp.tagger.maxent.ExtractorOutputTag.
 
ExtractorOutputTag(int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorOutputTag
 
ExtractorParticles - class edu.stanford.nlp.tagger.maxent.ExtractorParticles.
 
ExtractorParticles() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorParticles
 
ExtractorParticlesChris - class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris.
A class that detects and provides features for common verb particle pairs.
ExtractorParticlesChris() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris
 
Extractors - class edu.stanford.nlp.tagger.maxent.Extractors.
 
Extractors() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
 
Extractors(int) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
 
ExtractorTest - class edu.stanford.nlp.ie.test.ExtractorTest.
A simple command line demonstration of information extraction interfaced to the KAON Karlsruhe Ontology framework.
ExtractorTest(String, String, File) - Constructor for class edu.stanford.nlp.ie.test.ExtractorTest
 
ExtractorUtilities - class edu.stanford.nlp.ie.ExtractorUtilities.
Utility class for deserializing FieldExtractors from files.
ExtractPTBRules - class edu.stanford.nlp.lexgram.ExtractPTBRules.
Extract a SimpleLexicon and a SimpleGrammar from Penn Treebank files.

F

F() - Method in class edu.stanford.nlp.ie.pcfg.Score
 
F(int) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Calculates the "n"th Fibonacci number.
Factor - class edu.stanford.nlp.stats.Factor.
Factor: Class for (sparse) probability factors.
Factor(Collection) - Constructor for class edu.stanford.nlp.stats.Factor
 
factor(int) - Method in class edu.stanford.nlp.stats.KlNMF
 
factory() - Static method in class edu.stanford.nlp.trees.TaggedWord
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.trees.SimpleTree
Return a TreeFactory that produces trees of the SimpleTree type.
factory() - Static method in class edu.stanford.nlp.trees.NullLabel
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.Span
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.CategoryWordTag
Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.trees.Category
Return a factory for this kind of label (i.e., Category).
factory() - Static method in class edu.stanford.nlp.trees.StringLabel
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.trees.Word
Return a factory for this kind of label.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type, with the Label made with the supplied LabelFactory.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type, with the Label made with the supplied LabelFactory.
fancy - Static variable in class edu.stanford.nlp.ie.pcfg.GLUtil
outdated
FastDisjointSet - class edu.stanford.nlp.util.FastDisjointSet.
Fast Disjoint Set Disjoint forest with path compression and union-by-rank.
FastDisjointSet(Set) - Constructor for class edu.stanford.nlp.util.FastDisjointSet
 
fatalError(SAXParseException) - Method in class edu.stanford.nlp.classify.ScoreHandler
Fatal error.
fatalError(SAXParseException) - Method in class edu.stanford.nlp.classify.MedlineHandler
Fatal error.
fatalError(SAXParseException) - Method in class edu.stanford.nlp.wsd.SensevalOutput
Fatal error.
Feature - class edu.stanford.nlp.classify.Feature.
A wrapper for a String which allows you to add other attributes, such as weights, to a Feature.
Feature - class edu.stanford.nlp.maxent.iis.Feature.
This class is used as a base class for TaggerFeature for the tagging problem and for BinaryFeature for the general problem with binary features.
Feature() - Constructor for class edu.stanford.nlp.maxent.iis.Feature
 
Feature(Experiments, double[]) - Constructor for class edu.stanford.nlp.maxent.iis.Feature
This is if we are given an array of double with a value for each training sample in the order of their occurence.
Feature(Experiments, double[][]) - Constructor for class edu.stanford.nlp.maxent.iis.Feature
 
Feature(Experiments, int[], double[]) - Constructor for class edu.stanford.nlp.maxent.iis.Feature
 
Feature(String) - Constructor for class edu.stanford.nlp.classify.Feature
Constructor takes a String and creates a Feature.
FeatureAdder - class edu.stanford.nlp.classify.FeatureAdder.
This class takes a ProbabilitySet and the number of classes, and returns a new ProbabilitySet where each ClassProbability represents the probabilities for the entire class.
FeatureAdder(int, ProbabilitySet) - Constructor for class edu.stanford.nlp.classify.FeatureAdder
Constructor
FeatureIndex - class edu.stanford.nlp.tagger.maxent.FeatureIndex.
 
FeatureIndex() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureIndex
 
FeatureKey - class edu.stanford.nlp.tagger.maxent.FeatureKey.
 
FeatureKey() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
 
FeatureKey(int, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
 
FeatureMaker - class edu.stanford.nlp.classify.FeatureMaker.
This class accepts a string and returns a HashMap that holds the counts for each token in the string.
FeatureMaker(String) - Constructor for class edu.stanford.nlp.classify.FeatureMaker
Constructor
featurematrix - Variable in class edu.stanford.nlp.cluster.SVD
 
featurematrix - Variable in class edu.stanford.nlp.cluster.PDDP
 
features - Variable in class edu.stanford.nlp.dbm.DataMatrix
 
features - Variable in class edu.stanford.nlp.dbm.AbstractDataCollection
 
Features - class edu.stanford.nlp.maxent.iis.Features.
 
features() - Method in class edu.stanford.nlp.classify.FeatureMaker
Returns the HashMap with the counts.
features() - Method in class edu.stanford.nlp.dbm.FileDataCollection
returns an IndexedCollection of all the features
features() - Method in class edu.stanford.nlp.dbm.DataMatrix
 
features() - Method in class edu.stanford.nlp.dbm.AbstractDataCollection
returns a List of Features and their corresponding indices.
features() - Method in interface edu.stanford.nlp.dbm.DataCollection
returns an List of all the features
Features() - Constructor for class edu.stanford.nlp.maxent.iis.Features
 
FeatureSet - class edu.stanford.nlp.classify.FeatureSet.
This class stores pairs of features and counts.
FeatureSet() - Constructor for class edu.stanford.nlp.classify.FeatureSet
Constructor creates an empty FeatureSet
FeatureSet(HashMap) - Constructor for class edu.stanford.nlp.classify.FeatureSet
This constructor allows the creation of a FeatureSet from a HashMap of features
FeatureSetBuilder - class edu.stanford.nlp.classify.FeatureSetBuilder.
Given a HashMap of Features, and an ID (true classification), this class can create a FeatureSet.
FeatureSetBuilder(HashMap, int) - Constructor for class edu.stanford.nlp.classify.FeatureSetBuilder
Constructor
FeatureTemplate - class edu.stanford.nlp.tagger.maxent.FeatureTemplate.
 
FeatureTemplate() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureTemplate
 
FeatureTemplate(int, String, Extractor, String) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureTemplate
 
FeatureTemplates - class edu.stanford.nlp.tagger.maxent.FeatureTemplates.
 
FeatureTemplates(int) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureTemplates
 
Featurizable - interface edu.stanford.nlp.dbm.Featurizable.
Interface for Objects that can be described by their features.
fHasTags() - Method in class edu.stanford.nlp.mt.SentenceHandler
 
FieldExtractor - interface edu.stanford.nlp.ie.FieldExtractor.
Interface to all information extraction components.
FileArrayList - class edu.stanford.nlp.io.FileArrayList.
A FileArrayList maintains a collection of Files.
FileArrayList() - Constructor for class edu.stanford.nlp.io.FileArrayList
Creates an empty FileArrayList, with no Files in it.
FileArrayList(Collection) - Constructor for class edu.stanford.nlp.io.FileArrayList
Creates a FileArrayList from the passed in Collection.
FileArrayList(Collection, FileFilter) - Constructor for class edu.stanford.nlp.io.FileArrayList
Creates a FileArrayList from the passed in Collection.
FileArrayList(Collection, FileFilter, boolean) - Constructor for class edu.stanford.nlp.io.FileArrayList
Creates a FileArrayList from the passed in Collection.
FileArrayList(Collection, String, boolean) - Constructor for class edu.stanford.nlp.io.FileArrayList
Creates a FileArrayList from the passed in Collection.
FileArrayList(File, String, boolean) - Constructor for class edu.stanford.nlp.io.FileArrayList
Creates a FileArrayList from the passed in File path.
FileDataCollection - class edu.stanford.nlp.dbm.FileDataCollection.
DataCollection in which the Data and Features are stored in a File or Directory.
FileDataCollection() - Constructor for class edu.stanford.nlp.dbm.FileDataCollection
Creates an empty filedatacollection
FileDataCollection(List, String) - Constructor for class edu.stanford.nlp.dbm.FileDataCollection
 
FileDataCollection(String) - Constructor for class edu.stanford.nlp.dbm.FileDataCollection
Creates a FileDataCollection given a filename.
FileDataCollection(String, int) - Constructor for class edu.stanford.nlp.dbm.FileDataCollection
Creates a FileDataCollection.
fileIterator() - Method in class edu.stanford.nlp.dbm.USPDI
returns an iterator over documents in the document collection
fileIterator() - Method in class edu.stanford.nlp.dbm.Ohsumed
returns an iterator over documents in the document collection
fileIterator() - Method in class edu.stanford.nlp.dbm.Medline
returns an iterator over documents in the document collection
fileIterator() - Method in class edu.stanford.nlp.dbm.LocusLink
returns an iterator over documents in the document collection
fileIterator() - Method in class edu.stanford.nlp.dbm.Cranfield
returns an iterator over documents in the document collection
fileIterator() - Method in class edu.stanford.nlp.dbm.FileDataCollection
returns an iterator over the file where the FileDataCollection is stored.
fileIterator() - Method in class edu.stanford.nlp.dbm.Contexts
Returns an iterator over contexts in context collection
fileIterator() - Method in class edu.stanford.nlp.dbm.ContextSet
 
fileNameClean(String) - Static method in class edu.stanford.nlp.util.KleinUtils
 
FilePathProcessor - class edu.stanford.nlp.util.FilePathProcessor.
The FilePathProcessor traverses a directory structure and applies the processFile method to files meeting some criterion.
FilePathProcessor() - Constructor for class edu.stanford.nlp.util.FilePathProcessor
 
FileProcessor - interface edu.stanford.nlp.util.FileProcessor.
 
FileSequentialCollection - class edu.stanford.nlp.io.FileSequentialCollection.
A FileSequentialCollection maintains a read-only collection of Files.
FileSequentialCollection() - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates an empty FileSequentialCollection, with no Files in it.
FileSequentialCollection(Collection) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(Collection, FileFilter) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(Collection, FileFilter, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(Collection, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(File, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in File path.
FileSorter - class edu.stanford.nlp.classify.FileSorter.
Takes a file that contains a set of lists of double/key pairs, one to a line, and sorts them.
FileSorter(String) - Constructor for class edu.stanford.nlp.classify.FileSorter
Constructor accepts the name of the file where the lists are stored.
fillColor - Static variable in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
 
Filter - interface edu.stanford.nlp.classify.Filter.
A Filter takes a String object and returns the String after having applied the proper filter to it.
Filter - interface edu.stanford.nlp.util.Filter.
Filter is an interface for predicate objects which respond to the accept method.
filter(String) - Method in class edu.stanford.nlp.classify.RemoveSpacesFilter
 
filter(String) - Method in class edu.stanford.nlp.classify.POSPrepFilter
 
filter(String) - Method in class edu.stanford.nlp.classify.POSFilter
 
filter(String) - Method in class edu.stanford.nlp.classify.NegativeFilter
The filter method takes an unfiltered String s and returns a filtered String.
filter(String) - Method in class edu.stanford.nlp.classify.FirstNFilter
The filter method takes an unfiltered string and returns the filtered string.
filter(String) - Method in interface edu.stanford.nlp.classify.Filter
 
filter(String) - Method in class edu.stanford.nlp.classify.ButFilter
 
find(Object) - Method in class edu.stanford.nlp.util.FastDisjointSet
 
find(Object) - Method in interface edu.stanford.nlp.util.DisjointSet
 
findBestFit() - Method in class edu.stanford.nlp.classify.SimpleGoodTuring
 
finish() - Method in class edu.stanford.nlp.cluster.Kmeans
Finalizes clusters by setting P(w|z) to be the weighted mean of the documents in the cluster
finish() - Method in class edu.stanford.nlp.cluster.HACM
Finalizes clusters by setting P(w|z) to be the weighted mean of the data vectors in the cluster
finished() - Method in class edu.stanford.nlp.util.SwingWorker
Called on the event dispatching thread (not on the worker thread) after the construct method has returned.
finishEdge(Edge) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
FINISHIDX - Static variable in class edu.stanford.nlp.ie.hmm.State
 
FINISHTYPE - Static variable in class edu.stanford.nlp.ie.hmm.State
 
first - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
first() - Method in class edu.stanford.nlp.util.Pair
 
firstChild() - Method in class edu.stanford.nlp.trees.Tree
Returns the first child of a tree, or null if none
FirstNFilter - class edu.stanford.nlp.classify.FirstNFilter.
This filter is used if you only want to use the first n sentences in a document.
FirstNFilter(int) - Constructor for class edu.stanford.nlp.classify.FirstNFilter
Constructor: my_n is the number of sentences to use.
firstTaggern2Tags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
firstTaggernTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
firstTaggerOutput - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
FIVE - Static variable in class edu.stanford.nlp.util.Dbg
 
fixedFnumXY - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This flag is true if all (x,y) have the same f# in which case the newton equation solving is avoided
fixedVariables() - Method in class edu.stanford.nlp.stats.StringDistributionDescriptor
 
fixedVariables() - Method in interface edu.stanford.nlp.stats.MeasureDescriptor
 
fixedVariables() - Method in interface edu.stanford.nlp.stats.DistributionDescriptor
 
floatArrToByteArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
floatArrToByteArr(float[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
floatArrToByteArr(float[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
floatValue() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
fn - Static variable in class edu.stanford.nlp.ie.pcfg.Parser
default prefix for file used to exchange parse information.
fnCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats
Count of false negatives.
fnum(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
fnumArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This contains the number of features active for each pair (x,y)
foldIn(ProbabilitySet) - Method in class edu.stanford.nlp.classify.ProbabilitySet
Merges ProbabilitySet ps with me
follow() - Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
follow() - Method in interface edu.stanford.nlp.trees.HasFollow
Return the follow value of the label (or null if none).
FOUR - Static variable in class edu.stanford.nlp.util.Dbg
 
fpCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats
Count of false positives.
freeVariables() - Method in class edu.stanford.nlp.stats.StringDistributionDescriptor
 
freeVariables() - Method in interface edu.stanford.nlp.stats.MeasureDescriptor
 
freeVariables() - Method in interface edu.stanford.nlp.stats.DistributionDescriptor
 
fSize - Variable in class edu.stanford.nlp.maxent.iis.Problem
 
ftieldArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This is an array of empirical expectations for the features
ftiled() - Method in class edu.stanford.nlp.maxent.iis.ByteFeature
 
ftiled() - Method in class edu.stanford.nlp.maxent.iis.Feature
 
ftiled() - Method in class edu.stanford.nlp.maxent.iis.BinaryFeature
 
ftiled() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
Function - interface edu.stanford.nlp.optimization.Function.
An interface for double-valued functions over double arrays.
functions - Variable in class edu.stanford.nlp.maxent.iis.Problem
These are the features.

G

g - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
not currently in use
gamma(int, Entry) - Method in class edu.stanford.nlp.cluster.LSSA
 
GeneralStructure - interface edu.stanford.nlp.ie.hmm.GeneralStructure.
A simple interface for anything that has a State array.
generateLine(int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Generates a novel example of the given category, starting with (cn-1) start symbols and ending with an end symbol.
generateLine(int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Generates a novel example of the given category, starting with (cn-1) start symbols and ending with an end symbol.
generateParseException() - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
generateParseException() - Method in class edu.stanford.nlp.ie.desc.Chunker
 
generateWord(int, String, char, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Randomly generates a word of the given length, starting with the given intial context, and ending with the given final char by sampling from the char n-gram model of the given category.
generateWord(int, String, char, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Randomly generates a word of the given length, starting with the given intial context, and ending with the given final char by sampling from the char n-gram model of the given category.
GenericMerger - class edu.stanford.nlp.ie.merge.GenericMerger.
Provides basic merging functionality.
GenericMerger() - Constructor for class edu.stanford.nlp.ie.merge.GenericMerger
Empty constructor; subclasses can use the constructor to make calls to ignoreField and suppressConflictPenalty
genStarter() - Method in class edu.stanford.nlp.ie.hmm.Corpus
Generates a hashtable of emission probabilities using Maximum Likelihood estimation with add-one smoothing for the words in the vocabulary.
get_a(int) - Method in class edu.stanford.nlp.cluster.HiddenState
 
get_alpha(int, int) - Method in class edu.stanford.nlp.cluster.HiddenState
 
get_b(int) - Method in class edu.stanford.nlp.cluster.HiddenState
 
get_beta(int, int) - Method in class edu.stanford.nlp.cluster.HiddenState
 
get_pi() - Method in class edu.stanford.nlp.cluster.HiddenState
 
get_pr_d_z() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
get_pr_d_z() - Method in interface edu.stanford.nlp.cluster.Cluster
Returns entire probabilitiy distribution P(w|z)
get_pr_d_z(int) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
get_pr_d_z(int) - Method in interface edu.stanford.nlp.cluster.Cluster
Returns P(d|z) for d=datum_index
get_pr_w_z() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
get_pr_w_z() - Method in interface edu.stanford.nlp.cluster.Cluster
Returns entire probability distribution P(w|z)
get_pr_w_z(int) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
get_pr_w_z(int) - Method in interface edu.stanford.nlp.cluster.Cluster
Returns P(w|z) for w=feature_index
get_pr_z() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
get_pr_z() - Method in interface edu.stanford.nlp.cluster.Cluster
Returns P(z)
get() - Method in class edu.stanford.nlp.util.SwingWorker
Return the value created by the construct method.
get(int) - Method in class edu.stanford.nlp.cluster.VectorClusters
 
get(int) - Method in class edu.stanford.nlp.cluster.MatrixDecompositionClusters
Returns Cluster with index index
get(int) - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Returns Cluster with index index
get(int) - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Returns Cluster with index index
get(int) - Method in class edu.stanford.nlp.dbm.PersistentHashList
 
get(int) - Method in class edu.stanford.nlp.dbm.DBIndexedSet
 
get(int) - Method in class edu.stanford.nlp.dbm.AbstractDataCollection
 
get(int) - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
get(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
get(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
get(int) - Method in class edu.stanford.nlp.linalg.DenseNumberArray
 
get(int) - Method in class edu.stanford.nlp.linalg.DenseIntArray
 
get(int) - Method in class edu.stanford.nlp.linalg.DenseDoubleArray
 
get(int) - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
get(int) - Method in interface edu.stanford.nlp.linalg.Array
Gets double value of element at index i
get(int) - Method in class edu.stanford.nlp.maxent.iis.Features
 
get(int) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
get(int) - Method in class edu.stanford.nlp.mt.IntTriple
 
get(int) - Method in class edu.stanford.nlp.mt.IntQuadruple
 
get(int) - Method in class edu.stanford.nlp.mt.IntPair
 
get(int) - Method in class edu.stanford.nlp.mt.IntTuple
 
get(int) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
get(int) - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplates
 
get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Get a tree by index from the Treebank.
get(int) - Method in class edu.stanford.nlp.trees.MemorySentencebank
Get a sentence by index from the Sentencebank.
get(int) - Method in class edu.stanford.nlp.redwoods.IntTuple
 
get(int, int) - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
Returns the matrix cell value at coordinate [row,column].
get(int, int) - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
Returns the matrix cell value at coordinate [row,column].
get(int, int) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
Returns the matrix cell value at coordinate [row,column].
get(int, int) - Method in interface edu.stanford.nlp.linalg.Matrix
 
get(int, int, int) - Method in class edu.stanford.nlp.mt.Array3
 
get(int, int, int, int) - Method in class edu.stanford.nlp.mt.Array4
 
get(IntPair) - Method in class edu.stanford.nlp.mt.TTable
 
get(IntTuple) - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
get(Object) - Method in class edu.stanford.nlp.database.SLJDB
 
get(Object) - Method in class edu.stanford.nlp.database.HashDB
 
get(Object) - Method in class edu.stanford.nlp.database.DummyDB
Gets Object from database
get(Object) - Method in interface edu.stanford.nlp.database.SimpleDatabase
Gets Object from database
get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
get(Object) - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
get(String) - Method in interface edu.stanford.nlp.ie.hmm.EmitMap
 
get(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getAccuracy() - Method in class edu.stanford.nlp.classify.MassVerifier
Returns the accuracy from the statistics so far.
GetAllCombinations(List) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets all possible combinations of the elements in a list.
GetAllCombinations(List, int, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets all possible combinations of the elements in a list.
getAllParses(Label) - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
getAllParses(LabeledConstituent) - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
getAllTags() - Method in interface edu.stanford.nlp.lexgram.Lexicon
 
getAllTags() - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
getAmbClass(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getAnswerRanges(int[]) - Static method in class edu.stanford.nlp.ie.hmm.AnswerChecker
Takes the given list of answer types and converts them into a map from type to a list of Ranges (start/end) indices.
getArray() - Method in class edu.stanford.nlp.classify.SortedArray
Return the sorted array.
getArticleNum() - Method in class edu.stanford.nlp.classify.ScoreHandler
 
getAttributeName(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getAttrName(int, int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getAttrName(int, int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getAttrName(int, int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
getBase() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
getBeginColumn() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
getBeginColumn() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
getBeginLine() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
getBeginLine() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
getBestCategory(String) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the category that generates the given line with the highest probability.
getBestCategory(String) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the category that generates the given line with the highest probability.
getBestInstance(Instance[], Confidence[]) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Calls getMergedInstances and returns the best one.
getBestInstance(Instance[], Confidence[]) - Method in interface edu.stanford.nlp.ie.merge.InstanceMerger
Returns the one best Instance description.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getBestParse() - Method in interface edu.stanford.nlp.parser.ViterbiParser
Returns a best parse of the last sentence on which parse was called, or null if none exist.
getBestParse(Label) - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
getBestParse(LabeledConstituent) - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
GetBestTagSets(Tree, int) - Method in class edu.stanford.nlp.ie.pcfg.IEMan
gets the "numParses" best tag sets corresponding to a given tree.
GetBestTagSets(Tree, List, List, int) - Static method in class edu.stanford.nlp.ie.pcfg.IEParser
 
getBestTraversal() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
getCharBin(String, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the index of the appropriate EM interpolation parameter bin for the given char ngram.
getCharBinCount() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the number of bins used for char EM interpolation.
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
Returns an array of children for the current node.
getClass(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getClass(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getClass(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
getClass(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
getClassID() - Method in class edu.stanford.nlp.classify.ClassProbability
Returns the class_id (classification category).
getClassification(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
getClassification(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getClassification(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
getClassificationVoting(DataDouble, int, boolean) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getClassificationWeightedVoting(DataDouble, int, boolean) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getClassProbability(int) - Method in class edu.stanford.nlp.classify.ProbabilitySet
Returns the ClassProbability stored at index "index".
GetCleanCopy(List) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
getColumn() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
Deprecated.  
getColumn() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
Deprecated.  
getColumn(int) - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
returns number of columns in Matrix
getColumn(int) - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
returns number of columns in Matrix
getColumn(int) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
returns index'th column of Matrix
getColumn(int) - Method in interface edu.stanford.nlp.linalg.Matrix
returns column with index index
GetCombinations(List, int, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets all possible combinations of the elements in a list.
getConcept(Ontology, String) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Returns the Concept with the given name from the given Ontology, or null if none is found.
getCondEntropy() - Method in class edu.stanford.nlp.mt.TTable
 
getConfidence(Relation) - Method in class edu.stanford.nlp.ie.Confidence
Returns the confidence ranking for the particular field.
getConfidence(String) - Method in class edu.stanford.nlp.ie.Confidence
Returns the confidence ranking for the particular field.
getConfidenceSum() - Method in class edu.stanford.nlp.ie.Confidence
Returns the sum of getConfidence called on all relations.
getConflictPenalty() - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Gets the conflict penalty, which is assessed when the same field in two different instances don't match.
getContinuations() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
getCopy() - Method in class edu.stanford.nlp.mt.IntTriple
 
getCopy() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
getCopy() - Method in class edu.stanford.nlp.mt.IntPair
 
getCopy() - Method in class edu.stanford.nlp.mt.IntTuple
 
getCopy() - Method in class edu.stanford.nlp.redwoods.IntTuple
 
GetCopy(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Makes a deep copy.
getCount() - Method in class edu.stanford.nlp.mt.DoubleIntHolder
 
getCount() - Method in class edu.stanford.nlp.mt.ProbCountHolder
 
getCount() - Method in class edu.stanford.nlp.mt.WordEx
 
getCount() - Method in class edu.stanford.nlp.mt.SentencePair
 
getCount() - Method in class edu.stanford.nlp.mt.ATable
 
getCount() - Method in class edu.stanford.nlp.redwoods.ProbCountHolder
 
getCount(Feature) - Method in class edu.stanford.nlp.classify.FeatureSet
Returns the count associated with the Feature key
getCount(Feature) - Method in class edu.stanford.nlp.classify.ClassProbability
Returns the count of the Feature key.
getCount(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCounter() - Method in class edu.stanford.nlp.classify.ScoreHandler
 
getCounter() - Method in class edu.stanford.nlp.classify.MedlineHandler
 
getCountIn() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountRB() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountThat(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCP() - Method in class edu.stanford.nlp.classify.ClassProbBuilder
 
getCurrentFile() - Method in class edu.stanford.nlp.trees.DiskTreebank
Return the File from which trees are currently being read by apply(), and pased to a TreePprocessor.
getCurrentFile() - Method in class edu.stanford.nlp.trees.DiskSentencebank
Return the File from which trees are currently being read by apply(), and pased to a SentencePprocessor.
getData(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getData(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getData(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
getDerivatives() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
assuming we have the lambdas in the array and we need only the derivatives now
getDerivatives() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
assuming we have the lambdas in the array and we need only the derivatives now.
getDescription() - Method in class edu.stanford.nlp.ie.desc.DescExtractor
Returns a description of this extractor.
getDescription() - Method in interface edu.stanford.nlp.ie.FieldExtractor
Returns a brief (one line) description of this FieldExtractor, suitable for printing.
getDescription() - Method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
Returns a brief (one line) description of this FieldExtractor, suitable for printing.
getDescription() - Method in class edu.stanford.nlp.ie.regexp.RegexpsFieldExtractor
Returns a description of this RegexpExtractor specifying the size and first name and regexp.
getDescription() - Method in class edu.stanford.nlp.ie.regexp.RegexpExtractor
Returns a description of this RegexpExtractor specifying the field name and regexp.
getDict() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getDiscardComments() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Returns the DiscardComments setting.
getDiscardHtml() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Returns the DiscardHtml setting.
getDiscardInactiveTags() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Returns the DiscardInactiveTags setting.
getDiscardScript() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Returns the DiscardScript setting.
getDiscardTargetTags() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Returns the DiscardTargetTags setting.
getDouble(String) - Method in class edu.stanford.nlp.classify.FileSorter
 
GetElapsedTime(long) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets the difference between current time and "start".
getEmpiricalProb(List, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the empirical estimate of the probability of the last word length in the sequence given the sequence excluding that length, as observed within the given category.
getEmpiricalProb(List, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the empirical estimate of the probability of the last word length in the sequence given the sequence excluding that length, as observed within the given category.
getEmpiricalProb(String, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the empirical estimate of the probability of the last char in the sequence given the sequence excluding that char, as observed within the given category.
getEmpiricalProb(String, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the empirical estimate of the probability of the last char in the sequence given the sequence excluding that char, as observed within the given category.
getEmpiricalProb(String, int, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the empirical estimate of the probability of the given word given the word's length and the given category.
getEmpiricalProb(String, int, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the empirical estimate of the probability of the given word given the word's length and the given category.
getEmpty() - Method in class edu.stanford.nlp.mt.ATableHMMFull
 
getEmpty() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
getEmpty() - Method in class edu.stanford.nlp.mt.ATableHMM2
 
getEmpty() - Method in class edu.stanford.nlp.mt.ATable
 
getEmpty() - Method in class edu.stanford.nlp.mt.ATableHMM
 
getEncoding() - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
GetEnd(String) - Method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
getEndColumn() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
getEndColumn() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
getEndCount() - Method in class edu.stanford.nlp.classify.MedlineHandler
 
getEndLine() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
getEndLine() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
getEndMarkedString(String) - Static method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the given line prepended with enough ' ' symbols to allow n-gram parsing.
getEndMarkedString(String) - Static method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the given line prepended with enough ' ' symbols to allow n-gram parsing.
getEntry(int) - Method in class edu.stanford.nlp.mt.SymbolTable
 
getEntry(WordEx) - Method in class edu.stanford.nlp.mt.SymbolTable
 
getEntryChoose(int) - Method in class edu.stanford.nlp.mt.PTable
 
getEntryGo(int) - Method in class edu.stanford.nlp.mt.StayGoTable
 
getEntryGo(int, int) - Method in class edu.stanford.nlp.mt.StayGoTables
 
getEntryStay(int) - Method in class edu.stanford.nlp.mt.StayGoTable
 
getEntryStay(int, int) - Method in class edu.stanford.nlp.mt.StayGoTables
 
getEos() - Method in class edu.stanford.nlp.mt.SymbolTable
 
getExponent() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
getExtractableField() - Method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
 
getExtractableField(Concept) - Method in class edu.stanford.nlp.ie.desc.DescExtractor
Returns the name of the relation (field) extracted by this FieldExtractor.
getExtractableField(Concept) - Method in class edu.stanford.nlp.ie.SingleFieldExtractor
Subclasses should override this method to return the name of the Relation they know how to extract, or null if this field is not supported for the given Concept.
getExtractableField(Concept) - Method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
Subclasses should override this method to return the name of the Relation they know how to extract, or null if this field is not supported for the given Concept.
getExtractableField(Concept) - Method in class edu.stanford.nlp.ie.regexp.RegexpExtractor
Returns the name of the relation (field) extracted by FieldExtractor.
getExtractableFields(Concept) - Method in class edu.stanford.nlp.ie.SingleFieldExtractor
Returns the result of getExtractableField(Concept) turned into a 0 or 1 element array.
getExtractableFields(Concept) - Method in interface edu.stanford.nlp.ie.FieldExtractor
Returns the set of Relations that this FieldExtractor knows how to extract for the given Concept.
getExtractableFields(Concept) - Method in class edu.stanford.nlp.ie.regexp.RegexpsFieldExtractor
Returns the set of Relations that this FieldExtractor knows how to extract for the given Concept.
getFactor(List) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
getFactor(Set) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
getFeaturesNew() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
getFinishedActiveEdges(int, Label) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
getFinishedPassiveEdge(LabeledConstituent) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
getFinishedPassiveEdges(int, Label) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
getFirstItems() - Method in class edu.stanford.nlp.lexgram.SimpleRule
 
getFirstItems() - Method in class edu.stanford.nlp.lexgram.DFSARule
 
getFirstItems() - Method in interface edu.stanford.nlp.lexgram.Rule
 
getFirstTag(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getFMeasure() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current F1 measure (alpha=0.5).
getFMeasure(double) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the F-Measure with the given mixing parameter (must be between 0 and 1).
getFN() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current count of false negatives.
getFP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current count of false positives.
getFrom() - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker.Range
Returns the index of the first element spanned by this Range.
getFS() - Method in class edu.stanford.nlp.classify.FeatureSetBuilder
Returns the FeatureSet that was built.
getFTable() - Method in class edu.stanford.nlp.mt.Model1
 
getFTable() - Method in class edu.stanford.nlp.mt.HMM
 
getFValue(int, int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getFValue(int, int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getFValue(int, int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
getGlobalNumberer(String) - Static method in class edu.stanford.nlp.util.Numberer
 
getGlobalRanking() - Method in class edu.stanford.nlp.ie.Confidence
The Confidence object can store an additional global confidence ranking, as decided by the merging functionality.
GetGrammar(Tree) - Method in class edu.stanford.nlp.ie.pcfg.IEMan
Gets the mixed grammar that will be used to parse this tree.
getH() - Method in class edu.stanford.nlp.maxent.iis.DataString
 
getHashKey() - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplate
 
getHashKey(History) - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplate
 
GetHeadedCopy(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets a copy of tree, including some lexical head information.
getHeldOutScore() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Runs the classifier on the held-out examples and returns the number of correctly classified examples.
getHistories(History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
getHistories(History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getHistory() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getHistory(int) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
getID() - Method in class edu.stanford.nlp.classify.Classification
 
getID() - Method in class edu.stanford.nlp.classify.FeatureSet
Returns the ID (true classification) of the FeatureSet.
getID() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
GetImage() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
GetImage() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
getIncoming(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
 
getIndex() - Method in class edu.stanford.nlp.classify.ScoreHandler
 
getIndex() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
getIndex() - Method in interface edu.stanford.nlp.cluster.Cluster
Returns cluster's index
getIndex() - Method in class edu.stanford.nlp.mt.WordEx
 
getIndex(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
getIndex(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getIndexed() - Method in class edu.stanford.nlp.maxent.iis.BinaryFeature
Convert the setValues into an array of indexes of non-zero pairs indexedValues.
getIndexes(Object) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
getInitialProb(int, int) - Method in class edu.stanford.nlp.mt.ATableHMMFull
Get the initial probability p(i|l) i is in 0..l , l is the length of the english sentence
getInitialProb(int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Get the initial probability p(i|l) i is in 0..l , l is the length of the english sentence
getInitialProb(int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2
Get the initial probability p(i|l) i is in 0..l , l is the length of the english sentence
getInitialProb(int, int) - Method in class edu.stanford.nlp.mt.ATableHMM
Get the initial probability p(i|l) i is in 0..l , l is the length of the english sentence
getInput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getInputFileName() - Method in class edu.stanford.nlp.classify.MedlineHandler
 
getInternedEdge(Edge) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
getInterpolatedProb(List, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns a linearly interpolated estimate of the last length in the sequence given the rest of it.
getInterpolatedProb(List, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns a linearly interpolated estimate of the last length in the sequence given the rest of it.
getInterpolatedProb(String, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns a linearly interpolated estimate of the last char in the sequence given the rest of it.
getInterpolatedProb(String, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns a linearly interpolated estimate of the last char in the sequence given the rest of it.
getIntraSimilarity() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
getIntraSimilarity() - Method in interface edu.stanford.nlp.cluster.Cluster
Returns scatter value of Cluster, if it has already been computed
getIntTuple(int) - Method in class edu.stanford.nlp.mt.IntTuple
 
getIntTuple(int) - Static method in class edu.stanford.nlp.redwoods.IntTuple
 
getIterator() - Method in class edu.stanford.nlp.classify.FeatureSet
 
getIterator() - Method in class edu.stanford.nlp.mt.TTable
 
getIterator() - Method in class edu.stanford.nlp.mt.TupleCounter
 
getIterator() - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
getKeeperCharacters() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Returns the keeper string.
getKeys() - Method in class edu.stanford.nlp.classify.ClassProbability
Returns the set of keys in this ClassProbability.
getLabel() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
getLabelMatrix() - Method in interface edu.stanford.nlp.dbm.LabeledDataCollection
returns the boolean matrix whose columns are tag vectors
getLabels() - Method in class edu.stanford.nlp.dbm.LabelMatrix
 
getLabels() - Method in interface edu.stanford.nlp.dbm.LabeledDataCollection
returns an IndexedCollection of all the tags
getLabels() - Method in interface edu.stanford.nlp.lexgram.Grammar
 
getLabels() - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
getLabelsForSequence(int[]) - Method in class edu.stanford.nlp.ie.hmm.HMM
Returns the state type for each state in a (viterbi) state sequence.
getLambdaSolve() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
GetLeaf(Tree, int) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets the ith leaf.
getLength() - Method in class edu.stanford.nlp.mt.Sentence
 
getLengthBin(List, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the index of the appropriate EM interpolation parameter bin for the given length ngram.
getLengthBinCount() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the number of bins used for char EM interpolation.
GetLexicon(Tree) - Method in class edu.stanford.nlp.ie.pcfg.XPNPC
Calculates a probability for each lexical rule that may have been used to generate this tree.
GetLexicon(Tree) - Method in class edu.stanford.nlp.ie.pcfg.XPNPC2
 
GetLexicon(Tree) - Method in class edu.stanford.nlp.ie.pcfg.XPNPC3
 
GetLexicon(Tree) - Method in class edu.stanford.nlp.ie.pcfg.IEMan
Gets the mixed lexicon that will be used to parse this tree.
getLine() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
Deprecated.  
getLine() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
Deprecated.  
GetListRules(List, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Gets a list grammar or list lexicon from a list of trees.
getLogProb(String, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Computes and returns Log[P(line|category)].
getMap() - Method in interface edu.stanford.nlp.ie.hmm.EmitMap
 
getMap() - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
getMap(int) - Method in class edu.stanford.nlp.mt.StayGoTables
 
GetMap(List) - Static method in class edu.stanford.nlp.ie.pcfg.IEMan
creates a hashmap that links rules (without probabilties) to their XRules (rules + probabilities).
getMatrix() - Method in class edu.stanford.nlp.classify.CategoryMatrix
 
getMatrix() - Method in class edu.stanford.nlp.cluster.SimilarityMatrix
 
getMatrix() - Method in class edu.stanford.nlp.dbm.LabelMatrix
 
getMatrix() - Method in class edu.stanford.nlp.dbm.DataMatrix
 
getMatrix() - Method in interface edu.stanford.nlp.dbm.MatrixWrapper
Returns underlying Matrix
getMaxLength() - Method in class edu.stanford.nlp.mt.SentenceHandler
 
getMaxSimpleIds() - Method in class edu.stanford.nlp.mt.SymbolTable
 
getMaxValue(int[][]) - Static method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
Returns the largest value in the given matrix.
getMaxY(int) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
getMdlScore() - Method in class edu.stanford.nlp.ie.hmm.HMM
Computes the MDL score for this HMM structure on the training corpus.
getMean() - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
getMean() - Method in interface edu.stanford.nlp.cluster.Cluster
Returns weighted mean of Cluster, if it has already been computed
getMergedInstances(Vector, Vector) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Finds the best Instance according to getRank.
getMergedInstances(Vector, Vector) - Method in interface edu.stanford.nlp.ie.merge.InstanceMerger
 
getMergedRank(Instance, Instance, Confidence, Confidence) - Method in class edu.stanford.nlp.ie.merge.UnscoredMerger
 
getMergedRank(Instance, Instance, Confidence, Confidence) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
The rank of a merge is the rank of the Instance resulting from the union of the fields of the two input Instances.
getMergedRank(Instance, Instance, Confidence, Confidence) - Method in class edu.stanford.nlp.ie.merge.AbstractInstanceMerger
Returns the rank of the resulting Instance arising from merging the two input Instances.
getMergePenalty() - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Gets the merge penalty, which is assessed every time two Instances are merged.
getMeshArray() - Method in class edu.stanford.nlp.classify.ScoreHandler
 
getMeshSet() - Method in class edu.stanford.nlp.classify.ScoreHandler
 
getMessage() - Method in class edu.stanford.nlp.annotation.TokenMgrError
You can also modify the body of this method to customize your error messages.
getMessage() - Method in class edu.stanford.nlp.annotation.ParseException
This method has the standard behavior when this object has been created using the standard constructors.
getMessage() - Method in class edu.stanford.nlp.ie.desc.TokenMgrError
You can also modify the body of this method to customize your error messages.
getMessage() - Method in class edu.stanford.nlp.ie.desc.ParseException
This method has the standard behavior when this object has been created using the standard constructors.
getMiddle() - Method in class edu.stanford.nlp.mt.IntTriple
 
getMiddle() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
GetMissingGrammar(Tree) - Method in class edu.stanford.nlp.ie.pcfg.IEMan
no longer used
getMyClass() - Method in class edu.stanford.nlp.classify.POSTokenReader
 
getName(int) - Method in class edu.stanford.nlp.mt.SymbolTable
 
getNextData() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getNextData() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getNextPage() - Method in class edu.stanford.nlp.web.WebSearch
Returns the full text of the next valid search result.
getNextPair(boolean) - Method in class edu.stanford.nlp.mt.SentenceHandler
 
getNextPairTest() - Method in class edu.stanford.nlp.mt.SentenceHandler
 
getNextPairTrain() - Method in class edu.stanford.nlp.mt.SentenceHandler
 
getNextToken() - Method in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
getNextToken() - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
getNextToken() - Method in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
getNextToken() - Method in class edu.stanford.nlp.ie.desc.Chunker
 
getNum(Object) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
getNum(Object, HashMap) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
getNumAllIds() - Method in class edu.stanford.nlp.mt.SymbolTable
 
getNumAttributes() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getNumAttributes() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getNumAttributes() - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
getNumBaseIds() - Method in class edu.stanford.nlp.mt.SymbolTable
 
getNumber() - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
getNumber(int) - Method in class edu.stanford.nlp.linalg.DenseNumberArray
 
GetNumberedCopy(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets a copy of a tree, with labels replaced by numbers
getNumCategories() - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the number of different categories represented in this classifier.
getNumCategories() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the number of different categories represented in this classifier.
getNumContexts() - Method in class edu.stanford.nlp.redwoods.RuleTable
 
getNumEdges() - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
getNumEdgesAtGoal() - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
getNumPairs(boolean) - Method in class edu.stanford.nlp.mt.SentenceHandler
 
getNumProductions() - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
getNumRight(int) - Method in class edu.stanford.nlp.classify.MassVerifier
Returns the number of correct classifications for category i.
getNumTags() - Method in class edu.stanford.nlp.mt.SymbolTable
 
getNumTraversals() - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
getNumTraversalsAtGoal() - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
 
getNumValues(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getNumValues(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getNumValues(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
getNumWords() - Method in class edu.stanford.nlp.mt.SymbolTable
 
getNumWrong(int) - Method in class edu.stanford.nlp.classify.MassVerifier
Returns the number of incorrect classifications for category i.
GetOKPatterns(List, int) - Static method in class edu.stanford.nlp.ie.pcfg.Pattern
Returns a subset of GetPatterns, following suggestions from "hint".
GetOneTagCopy(String) - Method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
getOpenTags() - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getOutgoing(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
 
getOutput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
GetOverlaps(List) - Static method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
getParsedText() - Method in class edu.stanford.nlp.dbm.HTMLDocument
Returns the text of the document that was used to populate the words (ie with all tags stripped).
getPatterns() - Method in interface edu.stanford.nlp.lexgram.Grammar
 
getPatterns() - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
GetPatterns(List, int) - Static method in class edu.stanford.nlp.ie.pcfg.Pattern
Gets all the possible way that the tags in "list" can be distributed across "size" elements.
getPenalty() - Method in class edu.stanford.nlp.ie.Confidence
Similar to the global ranking, the penalty can be another piece of information relevant to the entire Instance rather than a particular field.
GetPermutations(List) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets all possible combinations of the elements in a list.
GetPermutations(List, int, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets all possible permuations of the elements in a list.
getPositions(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
GetPOSList(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets a list of the POS of all leaves in a tree
getPosteriors(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
getPosteriors(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getPosteriors(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
getPosteriorsFN(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
getPosteriorsFN(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getPosteriorsNom(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
getPosteriorsNom(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getPrecision() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current precision: tp/(tp+fp).
getPrecision(int) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getPrior() - Method in class edu.stanford.nlp.classify.ClassProbability
Returns the prior probability of this class.
getPriorProb(int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the empirical a piori probability of each category, as observed in the training data (fraction of each category in the whole training data).
getPriorProb(int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the empirical a piori probability of each category, as observed in the training data (fraction of each category in the whole training data).
getProb() - Method in class edu.stanford.nlp.mt.ProbCountHolder
 
getProb() - Method in class edu.stanford.nlp.redwoods.ProbCountHolder
 
getProb(Feature) - Method in class edu.stanford.nlp.classify.ClassProbability
Returns the probability of the Feature key.
getProb(int, int) - Method in class edu.stanford.nlp.mt.TPHandlerNULL
 
getProb(int, int) - Method in class edu.stanford.nlp.mt.TPHandlerNM
 
getProb(int, int) - Method in class edu.stanford.nlp.mt.TPHandlerFE1
 
getProb(int, int) - Method in class edu.stanford.nlp.mt.TPHandler
 
getProb(int, int) - Method in class edu.stanford.nlp.mt.TPHandlerEtags
 
getProb(int, int) - Static method in class edu.stanford.nlp.mt.Perplexity
 
getProb(int, int) - Method in class edu.stanford.nlp.mt.CHandler
 
getProb(int, int) - Method in class edu.stanford.nlp.mt.AlHandler
 
getProb(int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMMFull
 
getProb(int, int, int) - Method in class edu.stanford.nlp.mt.ATable
 
getProb(int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM
Smooth the basic probability if smoothUniform is on
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.TPHandlerNM
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.TPHandler
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2Tags
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQSG
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQ
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2E
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1Tags
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1SG
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1F
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandler
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1
 
getProb(int, int, int[]) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1E
 
getProb(int, int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Smooth the basic probability if smoothUniform is on
getProb(int, int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2
Smooth the basic probability if smoothUniform is on
getProb(int, int, int, int) - Method in class edu.stanford.nlp.mt.ATable
 
getProb(IntPair) - Method in class edu.stanford.nlp.mt.TTable
 
getProb(Object) - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
getProb(Object, Object) - Method in class edu.stanford.nlp.redwoods.RuleTable
 
getProbChoose(int) - Method in class edu.stanford.nlp.mt.PTable
 
getProbGo(int) - Method in class edu.stanford.nlp.mt.StayGoTable
 
getProbGo(int, int) - Method in class edu.stanford.nlp.mt.StayGoTables
 
GetProbGrammar(List) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Gets a probabilistic grammar from the list of trees.
getProbHMM(int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMMFull
Get the probability p(i|i_prev,l) i is from 1 to 2L and i_prev is in the same set as well
getProbHMM(int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM
Get the probability p(i|i_prev,l) i is from 1 to 2L and i_prev is in the same set as well
getProbHMM(int, int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Get the probability p(i|i_prev,i_prev2,l) i is from 1 to 2L+1 and i_prev,i_prev2 are in the same set as well without 2L+1
getProbHMM(int, int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2
Get the probability p(i|i_prev,i_prev2,l) i is from 1 to 2L+1 and i_prev,i_prev2 are in the same set as well without 2L+1
getProbJump(int) - Method in class edu.stanford.nlp.mt.ATableHMM
Get the prior probability of jumping a distance distance
getProbJump(int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Get the prior probability of jumping a distance distance
getProbJump(int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2
Get the prior probability of jumping a distance distance
getProbs() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getProbStay(int) - Method in class edu.stanford.nlp.mt.StayGoTable
 
getProbStay(int, int) - Method in class edu.stanford.nlp.mt.StayGoTables
 
getPureString(String) - Static method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Prunes the first (cn-1) chars from the beginning of the word as well as the final char.
getPureString(String) - Static method in class edu.stanford.nlp.ie.pcfg.PNPC
Prunes the first (cn-1) chars from the beginning of the word as well as the final char.
getRank(Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.UnscoredMerger
 
getRank(Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Rank of an instance is the sum of the confidences for each field, as specified by the Confidence object.
getRank(Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.AbstractInstanceMerger
Returns the rank of an Instance, which should measure how good a description of the entity the Instance is.
getRecall() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current recall: tp/(tp+fn).
getRecall(int) - Method in class edu.stanford.nlp.classify.MassVerifier
Returns the recall for category i.
getRelation(Ontology, String) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Returns the Relation with the given name from the given Ontology, or null if none is found.
GetRule(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Given a tree with only two nodes (parent and child), returns an XRule that describes the generation "parent -> child".
getRules() - Method in interface edu.stanford.nlp.lexgram.Grammar
 
getRules() - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
GetRules(List) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets a list of all the rules (XRules) needed to generate a list of trees.
GetRules(List, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets a list of all the rules (XRules) needed to generate a list of trees.
GetRules(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets a list of all the rules (XRules) needed to generate a given tree.
GetRules(Tree, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets a list of all the rules (XRules) needed to generate a given tree.
getRulesByFirstItem(Object) - Method in interface edu.stanford.nlp.lexgram.Grammar
 
getRulesByFirstItem(Object) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
getRulesByLabel(Label) - Method in interface edu.stanford.nlp.lexgram.Grammar
 
getRulesByLabel(Label) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
getRulesByPattern(Object) - Method in interface edu.stanford.nlp.lexgram.Grammar
 
getRulesByPattern(Object) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
getScore() - Method in class edu.stanford.nlp.cluster.VectorClusters
 
getScore() - Method in interface edu.stanford.nlp.cluster.Clusters
Returns score, if score has already been computed
getScore(String, int) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Returns the score for the given example as scored in the given category.
getScore(String, int) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Returns the score for the given example as scored in the given category.
getScores(History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
this scores the current assignment in PairsHolder current position h.current
GetSentence(String) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
GetSentence(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets the sentence represented by a tree (as a list of XLabels).
GetSentenceAsString(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets the sentence represented by a tree (as a string).
GetSentenceAsString(Tree, boolean, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Gets the sentence represented by a tree (as a string).
GetSentences(List) - Static method in class edu.stanford.nlp.ie.pcfg.TBMan
Breaks a list of documents into sentences.
GetSentences(List, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.TBMan
Breaks a list of documents into sentences.
GetSimilar(XRule, List, boolean, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.XRule
Gets all the rules in a list that are similar to a key rule.
getSize() - Method in class edu.stanford.nlp.classify.VocabBuilder
Returns the size of the vocabulary.
getSize() - Method in class edu.stanford.nlp.classify.FeatureMaker
Returns the number of features in the String.
getSize() - Method in class edu.stanford.nlp.classify.FeatureSet
Returns the number of features in the FeatureSet
getSize() - Method in class edu.stanford.nlp.classify.ClassProbability
Returns the number of keys in this ClassProbability.
getSize() - Method in class edu.stanford.nlp.classify.ProbabilitySet
Returns the size of this ProbabilitySet
getSize() - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.ReadData
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getSmoothTable() - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
getSortedAccuracy() - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
getSource() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getSource() - Method in class edu.stanford.nlp.mt.WordPair
 
getSource() - Method in class edu.stanford.nlp.mt.WordExPair
 
getSource() - Method in class edu.stanford.nlp.mt.IntTriple
 
getSource() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
getSource() - Method in class edu.stanford.nlp.mt.IntPair
 
getSource() - Method in class edu.stanford.nlp.mt.SentencePair
 
GetStart(String) - Method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
getStartCount() - Method in class edu.stanford.nlp.classify.MedlineHandler
 
getState() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
getStates() - Method in class edu.stanford.nlp.ie.hmm.MultiStructure
 
getStates() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
getStates() - Method in interface edu.stanford.nlp.ie.hmm.GeneralStructure
 
getStatistics() - Method in class edu.stanford.nlp.parser.oldparser.ParseEval
 
GetString(List) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
GetString(List, boolean, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
getStringLabelTreeToCategoryWordTagTreeAppliable() - Static method in class edu.stanford.nlp.trees.TreeJugglers
 
GetStrings(List) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
GetSuffix(int) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
GetSuffix(int) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
getTable(Object) - Method in class edu.stanford.nlp.redwoods.RuleTable
 
getTag() - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplate
 
getTag() - Method in class edu.stanford.nlp.tagger.maxent.OutputTags
 
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerOutputHolder
 
getTag(int, int) - Method in class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
 
getTaggedNice() - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
getTaggedNice() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getTagId() - Method in class edu.stanford.nlp.mt.Word
 
getTagret2() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
GetTags() - Method in class edu.stanford.nlp.ie.pcfg.XRule
gets a list of all tags found anywhere in the rule
GetTags() - Method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
GetTags(List) - Static method in class edu.stanford.nlp.ie.pcfg.XRule
gets a list of all tags found anywhere in a list of XRules
getTags(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getTagsByWord(Word) - Method in interface edu.stanford.nlp.lexgram.Lexicon
 
getTagsByWord(Word) - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
GetTagSet(List) - Static method in class edu.stanford.nlp.ie.pcfg.XSentence
 
GetTagSet(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Returns a set of all the tags in the tree.
getTarget() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getTarget() - Method in class edu.stanford.nlp.mt.WordPair
 
getTarget() - Method in class edu.stanford.nlp.mt.WordExPair
 
getTarget() - Method in class edu.stanford.nlp.mt.IntTriple
 
getTarget() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
getTarget() - Method in class edu.stanford.nlp.mt.IntPair
 
getTarget() - Method in class edu.stanford.nlp.mt.SentencePair
 
getTargetField() - Method in class edu.stanford.nlp.ie.hmm.Corpus
Get field we are extracting.
getTargetFields() - Method in class edu.stanford.nlp.ie.hmm.Corpus
Get fields we are extracting.
getTask() - Method in class edu.stanford.nlp.classify.ScoreHandler
 
getTask() - Method in class edu.stanford.nlp.classify.MedlineHandler
 
GetTestData(int) - Method in class edu.stanford.nlp.ie.pcfg.TBMan
Gets the test data.
getTimeout() - Method in class edu.stanford.nlp.web.WebSearch
Returns how long the HTTP request timeout period is.
getTo() - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker.Range
Returns the index immediately after the last element spanned by this Range.
getToken(int) - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
getToken(int) - Method in class edu.stanford.nlp.ie.desc.Chunker
 
getTP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current count of true positives.
GetTrainingData(int) - Method in class edu.stanford.nlp.ie.pcfg.TBMan
Gets the training data.
getTransitions() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
getTraversals() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
GetTrees(List) - Method in class edu.stanford.nlp.ie.pcfg.TBMan
gets the parse trees for a list of sentences.
getTTable() - Method in class edu.stanford.nlp.mt.Model1
 
getTTable() - Method in class edu.stanford.nlp.mt.HMM
 
getTypeSequence() - Method in class edu.stanford.nlp.ie.hmm.TypedTaggedDocument
Returns an array representing the type of each word in this Document.
getUniform() - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
GetUniformGrammar(Tree, List) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Gets a uniform grammar for a given tree.
GetUniformLexicon(Tree, List) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Gets a uniform lexicon for a given tree.
getURLList() - Method in class edu.stanford.nlp.web.WebSearch
Returns a new Vector list of urls obtained from the search engines.
getVacuousMergePenalty() - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Gets the "vacuous merge" penalty, which is assessed when a merged instance would contain no values from one of the original instances.
getVal(int) - Method in class edu.stanford.nlp.maxent.iis.ByteFeature
 
getVal(int) - Method in class edu.stanford.nlp.maxent.iis.Feature
Get the value at the index-ed non zero value pair (x,y)
getVal(int) - Method in class edu.stanford.nlp.maxent.iis.BinaryFeature
 
getVal(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getVal(int, int) - Method in class edu.stanford.nlp.maxent.iis.Feature
This is rarely used because it is slower and requires initHashVals() to be called beforehand to initiallize the hashValues
getVal(int, int) - Method in class edu.stanford.nlp.maxent.iis.BinaryFeature
This does sequential search in indexedValues.
getVal(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getValue() - Method in class edu.stanford.nlp.classify.ID
 
getValue() - Method in class edu.stanford.nlp.classify.Classification
 
getValue() - Method in class edu.stanford.nlp.classify.Feature
Returns my String value
getValue() - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Returns the value (count) represented by this CellPlotter.
getValue() - Method in class edu.stanford.nlp.mt.IntHolder
 
getValue() - Method in class edu.stanford.nlp.mt.DoubleIntHolder
 
getValue() - Method in class edu.stanford.nlp.util.SwingWorker
Get the value produced by the worker thread, or null if it hasn't been constructed yet.
getValues() - Method in class edu.stanford.nlp.maxent.iis.BinaryFeature
 
getVocab() - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
getWebPage(String) - Method in class edu.stanford.nlp.web.WebSearch
An internal convenience function that is made public for the benefit of the client for a quick and easy way to return the text of a text/html html page.
getWord() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getWord() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
getWord(int) - Method in class edu.stanford.nlp.mt.Sentence
 
getWord(int) - Method in class edu.stanford.nlp.trees.Sentence
Return the Word at the given index.
getWordId() - Method in class edu.stanford.nlp.mt.Word
 
getWordLengths(String) - Static method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Takes an end-marked string and returns a list of Integers for the length of each word.
getWordLengths(String) - Static method in class edu.stanford.nlp.ie.pcfg.PNPC
Takes an end-marked string and returns a list of Integers for the length of each word.
getWordsByTag(Label) - Method in interface edu.stanford.nlp.lexgram.Lexicon
 
getWordsByTag(Label) - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
getWordsWithContext(String) - Static method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Takes an end-marked string and returns a List of strings, one for each word in the line.
getWordsWithContext(String) - Static method in class edu.stanford.nlp.ie.pcfg.PNPC
Takes an end-marked string and returns a List of strings, one for each word in the line.
getX() - Method in class edu.stanford.nlp.maxent.iis.DataString
 
getX() - Method in class edu.stanford.nlp.maxent.iis.Data
 
getX() - Method in class edu.stanford.nlp.maxent.iis.DataGeneric
 
getX() - Method in class edu.stanford.nlp.maxent.iis.DataDouble
 
getX() - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getX(int) - Method in class edu.stanford.nlp.maxent.iis.Feature
 
getX(int) - Method in class edu.stanford.nlp.maxent.iis.DataDouble
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.ReadData
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getX(int, PairsHolder) - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX(PairsHolder) - Method in class edu.stanford.nlp.tagger.maxent.History
 
getXValues(Object) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
getY() - Method in class edu.stanford.nlp.maxent.iis.DataString
 
getY() - Method in class edu.stanford.nlp.maxent.iis.Data
 
getY() - Method in class edu.stanford.nlp.maxent.iis.DataGeneric
 
getY() - Method in class edu.stanford.nlp.maxent.iis.DataDouble
 
getY() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getY(int) - Method in class edu.stanford.nlp.maxent.iis.Feature
 
getY(int) - Method in class edu.stanford.nlp.tagger.maxent.ReadData
 
getY(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
getY(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getYInd() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getYName(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
getYName(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
getYName(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
getYNo() - Method in class edu.stanford.nlp.maxent.iis.DataDouble
 
getYTag() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
giveDefault() - Method in class edu.stanford.nlp.ie.hmm.Structure
Build a simple IE HMM structure, with start and finish state, and one each background, prefix, suffix, and target states.
giveEmpty() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
giveErgodic(int[]) - Method in class edu.stanford.nlp.ie.hmm.Structure
Builds an ergodic (fully-connected) HMM structure.
giveTarget() - Method in class edu.stanford.nlp.ie.hmm.Structure
Build a simple Target HMM structure, with start and finish state and target states only.
GLOBAL_END - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
GLOBAL_START - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
GlobalHolder - class edu.stanford.nlp.tagger.maxent.GlobalHolder.
Title: StanfordMaxEnt package.
GlobalHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
globalMaxChange - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
GlobalParams - class edu.stanford.nlp.mt.GlobalParams.
 
GlobalParams() - Constructor for class edu.stanford.nlp.mt.GlobalParams
 
GLUtil - class edu.stanford.nlp.ie.pcfg.GLUtil.
Grammar/Lexicon Utility.
GLUtil() - Constructor for class edu.stanford.nlp.ie.pcfg.GLUtil
 
Grammar - interface edu.stanford.nlp.lexgram.Grammar.
An interface for grammar representation
GrammarCompiler - class edu.stanford.nlp.lexgram.GrammarCompiler.
Grammar Compiler Class for compiling DFSA grammars from simple grammars.
GrammarCompiler() - Constructor for class edu.stanford.nlp.lexgram.GrammarCompiler
 
grammarP1 - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
the mixing ratio between gram4 (the lexicalized, tagged grammar) and gram3 (the tagged grammar)
grammarP2 - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
the mixing ratio between gram3 (the unlexicalized, tagged grammar) and the uniform grammar (see GLUtil)
GrowableDenseDoubleArray - class edu.stanford.nlp.linalg.GrowableDenseDoubleArray.
Array wrapper for cern.colt.list.DoubleArrayList
GrowableDenseDoubleArray() - Constructor for class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
GrowableDenseDoubleArray(double[]) - Constructor for class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
GrowableDenseDoubleArray(DoubleArrayList) - Constructor for class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
GrowableDenseDoubleArray(int) - Constructor for class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
GrowableDenseIntArray - class edu.stanford.nlp.linalg.GrowableDenseIntArray.
Array wrapper for cern.colt.list.IntArrayList
GrowableDenseIntArray() - Constructor for class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
GrowableDenseIntArray(int) - Constructor for class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
GrowableDenseIntArray(int[]) - Constructor for class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
GrowableDenseIntArray(IntArrayList) - Constructor for class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
GrowableMatrix - interface edu.stanford.nlp.linalg.GrowableMatrix.
Interface for Growable Matrices.
GTPreparer - class edu.stanford.nlp.classify.GTPreparer.
This class prepares the ProbabilitySet to_be_smooted for smoothing, and calls the Good Turing smoother
GTPreparer(ProbabilitySet, HashMap) - Constructor for class edu.stanford.nlp.classify.GTPreparer
Constructor: takes the ProbabilitySet that should be smoothed, and the HashMap that contains the total vocabulary.

H

HACM - class edu.stanford.nlp.cluster.HACM.
Hierarchical Agglomerative Clustering Method
HACM(Double4Function) - Constructor for class edu.stanford.nlp.cluster.HACM
Sets values for db, nt, nd, csf.
HACM(DoubleDoubleFunction) - Constructor for class edu.stanford.nlp.cluster.HACM
Sets values for db, nt, nd, csf.
handleComment(char[], int) - Method in class edu.stanford.nlp.web.LocusLinkParser
 
handleEndTag(HTML.Tag, int) - Method in class edu.stanford.nlp.web.USPDIParser
Start recording again after you hit the end of a header, link, or bold
handleEndTag(HTML.Tag, int) - Method in class edu.stanford.nlp.web.LocusLinkParser
 
handleEndTag(HTML.Tag, int) - Method in class edu.stanford.nlp.web.HTMLParser
Sets a flag if the end tag is the "TITLE" element end tag
handleStartTag(HTML.Tag, MutableAttributeSet, int) - Method in class edu.stanford.nlp.web.USPDIParser
Opens and parses the URL that includes /mdxcgi/htmldisp.exe.
handleStartTag(HTML.Tag, MutableAttributeSet, int) - Method in class edu.stanford.nlp.web.LocusLinkParser
 
handleStartTag(HTML.Tag, MutableAttributeSet, int) - Method in class edu.stanford.nlp.web.HTMLParser
Sets a flag if the start tag is the "TITLE" element start tag.
handleText(char[], int) - Method in class edu.stanford.nlp.web.USPDIParser
Return the URL of the link that says USP DI(R) Drug Information for the Health Care Professional
handleText(char[], int) - Method in class edu.stanford.nlp.web.LocusLinkParser
 
handleText(char[], int) - Method in class edu.stanford.nlp.web.HTMLParser
 
HardCluster - class edu.stanford.nlp.cluster.HardCluster.
Hard Cluster.
HardCluster(int, int) - Constructor for class edu.stanford.nlp.cluster.HardCluster
Allocates memory for arrays and initializes values to 0
HardCluster(int, int, int) - Constructor for class edu.stanford.nlp.cluster.HardCluster
Allocates memory for arrays, sets index, and initializes values to 0
hasAbstract() - Method in class edu.stanford.nlp.dbm.OhsumedDocument
Returns true if Document has abstract.
HasAttributes - interface edu.stanford.nlp.trees.HasAttributes.
Something that implements the HasAttributes interface knows about attributes stored in a Map
HasCategory - interface edu.stanford.nlp.trees.HasCategory.
Something that implements the HasCategory interface knows about categories
HasFollow - interface edu.stanford.nlp.trees.HasFollow.
Something that implements the HasFollow interface knows about the characters that follow a token.
hashCode() - Method in class edu.stanford.nlp.classify.Feature
Allows Features to be hashed and retrieved.
hashCode() - Method in class edu.stanford.nlp.fsm.DFSAState
 
hashCode() - Method in class edu.stanford.nlp.ie.pcfg.LookupRule
 
hashCode() - Method in class edu.stanford.nlp.ie.pcfg.XLabel
Gets a hash code for the label.
hashCode() - Method in class edu.stanford.nlp.ie.pcfg.XRule
compares this XRule to another object.
hashCode() - Method in class edu.stanford.nlp.lexgram.SimpleRule
 
hashCode() - Method in class edu.stanford.nlp.mt.WordPair
 
hashCode() - Method in class edu.stanford.nlp.mt.WordExPair
 
hashCode() - Method in class edu.stanford.nlp.mt.IntTriple
 
hashCode() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
hashCode() - Method in class edu.stanford.nlp.mt.IntPair
 
hashCode() - Method in class edu.stanford.nlp.mt.Word
 
hashCode() - Method in class edu.stanford.nlp.parser.oldparser.Traversal
 
hashCode() - Method in class edu.stanford.nlp.stats.HashObservation
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.WordTag
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.History
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
hashCode() - Method in class edu.stanford.nlp.trees.AbstractLabel
Return the hashCode of the String value providing there is one.
hashCode() - Method in class edu.stanford.nlp.trees.Constituent
A hashCode for Constituents done by shifting and or'ing for speed.
hashCode() - Method in class edu.stanford.nlp.util.UnorderedPair
 
hashCode() - Method in class edu.stanford.nlp.util.ArrayMap
 
hashCode() - Method in class edu.stanford.nlp.util.MutableInteger
 
hashCode() - Method in class edu.stanford.nlp.util.Pair
 
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
 
HashDB - class edu.stanford.nlp.database.HashDB.
SimpleDatabase wrapper for a Hashtable
HashDB() - Constructor for class edu.stanford.nlp.database.HashDB
 
hashHistories() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
hashHistories(TemplateHash, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
HashObservation - class edu.stanford.nlp.stats.HashObservation.
Observation Represents an observation, or a specification of values for random variables.
HashObservation() - Constructor for class edu.stanford.nlp.stats.HashObservation
Default constructor.
HashObservation(int) - Constructor for class edu.stanford.nlp.stats.HashObservation
Constructor which allows specification of the initial number of random variables expected.
hashValues - Variable in class edu.stanford.nlp.maxent.iis.ByteFeature
 
hashValues - Variable in class edu.stanford.nlp.maxent.iis.Feature
 
hasMoreData() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
hasMoreData() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
hasNext() - Method in class edu.stanford.nlp.classify.LinkedList
 
hasNext() - Method in class edu.stanford.nlp.classify.FeatureSet
Used when iterating
hasNext() - Method in class edu.stanford.nlp.util.ScoredPriorityAgenda
 
hasNext() - Method in class edu.stanford.nlp.util.StackAgenda
 
hasNext() - Method in interface edu.stanford.nlp.util.Agenda
 
hasProb(Feature) - Method in class edu.stanford.nlp.classify.ClassProbability
Returns true if this key has a probability represented in this class, and false otherwise.
hasSeen(Object) - Method in class edu.stanford.nlp.util.Counter
 
hasSeen(Object) - Method in class edu.stanford.nlp.util.Numberer
 
HasTag - interface edu.stanford.nlp.trees.HasTag.
Something that implements the HasTag interface knows about part-of-speech tags.
HasType - interface edu.stanford.nlp.ie.hmm.HasType.
Something that implements the HasType interface knows about HMM target types.
hasValue(String, String) - Method in class edu.stanford.nlp.classify.ButFilter
 
HasWord - interface edu.stanford.nlp.trees.HasWord.
Something that implements the HasWord interface knows about words
head - Variable in class edu.stanford.nlp.ie.pcfg.XLabel
label head.
head - Variable in class edu.stanford.nlp.parser.lexparser.DependencyGrammar.EndHead
 
HeadFinder - interface edu.stanford.nlp.trees.HeadFinder.
An interface for finding the "head" daughter of a phrase structure tree.
Heap - interface edu.stanford.nlp.util.Heap.
Heap: It's the heap interface.
heldDocs - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
heldOutExamples - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
heldOutPercent - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
helper(Tree) - Method in class edu.stanford.nlp.trees.TreeJugglers.StringLabelTreeToCategoryWordTagTreeAppliable
 
HHCluster - class edu.stanford.nlp.cluster.HHCluster.
Hierarchical Hard Cluster.
HHCluster(int, int) - Constructor for class edu.stanford.nlp.cluster.HHCluster
Allocates memory for arrays and initializes values to 0
HHCluster(int, int, int) - Constructor for class edu.stanford.nlp.cluster.HHCluster
Allocates memory for arrays, sets index, and initializes values to 0
HiddenState - class edu.stanford.nlp.cluster.HiddenState.
Data Structure for clusters in LSSA.
HiddenState(int, int, int) - Constructor for class edu.stanford.nlp.cluster.HiddenState
Constructor: allocates memory for arrays, but does not initializes values
HiddenState(int, int, int, int) - Constructor for class edu.stanford.nlp.cluster.HiddenState
 
hint - Static variable in class edu.stanford.nlp.ie.pcfg.Pattern
The IEMan sets the hint to give Pattern a better idea what sort of tag assignments are/aren't allowed for this sentence.
History - class edu.stanford.nlp.tagger.maxent.History.
 
History() - Constructor for class edu.stanford.nlp.tagger.maxent.History
 
History(int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.History
 
HistoryTable - class edu.stanford.nlp.tagger.maxent.HistoryTable.
 
HistoryTable() - Constructor for class edu.stanford.nlp.tagger.maxent.HistoryTable
 
HistoryTable(int) - Constructor for class edu.stanford.nlp.tagger.maxent.HistoryTable
 
hits - Variable in class edu.stanford.nlp.ie.pcfg.Score
 
hm - Variable in class edu.stanford.nlp.ie.pcfg.Interpolator
 
HMM - class edu.stanford.nlp.ie.hmm.HMM.
Class for a Hidden Markov Model information extraction tool.
HMM - class edu.stanford.nlp.mt.HMM.
 
HMM() - Constructor for class edu.stanford.nlp.mt.HMM
 
HMM(Corpus) - Constructor for class edu.stanford.nlp.ie.hmm.HMM
 
HMM(GeneralStructure, Corpus) - Constructor for class edu.stanford.nlp.ie.hmm.HMM
Build an HMM of a certain structure and train it on a certain corpus.
HMM(GeneralStructure, Corpus, Corpus, int, boolean) - Constructor for class edu.stanford.nlp.ie.hmm.HMM
Build an HMM using the given corpora for basic training and validation.
HMM(GeneralStructure, Corpus, int) - Constructor for class edu.stanford.nlp.ie.hmm.HMM
 
HMM(GeneralStructure, Corpus, int, boolean) - Constructor for class edu.stanford.nlp.ie.hmm.HMM
Build an HMM.
HMM(HMM, HMM[]) - Constructor for class edu.stanford.nlp.ie.hmm.HMM
Put together a learned top level cascaded HMM with individual HMMs for the different states.
HMM(SentenceHandler, int, int) - Constructor for class edu.stanford.nlp.mt.HMM
 
HMM(SentenceHandler, int, TTable, TTable, ATable, int, int) - Constructor for class edu.stanford.nlp.mt.HMM
 
HMM(SentenceHandler, int, TTable, TTable, int, int) - Constructor for class edu.stanford.nlp.mt.HMM
 
HMMSingleFieldExtractor - class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor.
An interface between the KAON extraction world, and extraction of a single field via an HMM information extractor.
HMMSingleFieldExtractor(String) - Constructor for class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
 
HMMTester - class edu.stanford.nlp.ie.hmm.HMMTester.
Programmatically tests the quality of an HMM on a Corpus.
HMMTester(HMM) - Constructor for class edu.stanford.nlp.ie.hmm.HMMTester
Constructs a new tester for the given HMM.
hmmType - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
HoldDouble - class edu.stanford.nlp.maxent.iis.HoldDouble.
This class is used hold one double value.
hPos - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
hPos - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
HTML_INSIDE - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
HTML_QUOTED - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
HTML_TAG - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
HtmlCleaner - class edu.stanford.nlp.annotation.HtmlCleaner.
HtmlCleaner removes various code elements (style, script, applet, and so on) from an HTML document.
HtmlCleaner(InputStream, OutputStream) - Constructor for class edu.stanford.nlp.annotation.HtmlCleaner
Creates a new HtmlCleaner with default settings.
HtmlCleaner(Reader, OutputStream) - Constructor for class edu.stanford.nlp.annotation.HtmlCleaner
Creates a new HtmlCleaner with default settings.
HTMLDocument - class edu.stanford.nlp.dbm.HTMLDocument.
The HTMLDocument class implements Document methods for an HTML encoded document.
HTMLDocument() - Constructor for class edu.stanford.nlp.dbm.HTMLDocument
 
HtmlLexer - class edu.stanford.nlp.annotation.HtmlLexer.
 
HtmlLexer(HtmlLexerTokenManager) - Constructor for class edu.stanford.nlp.annotation.HtmlLexer
 
HtmlLexer(InputStream) - Constructor for class edu.stanford.nlp.annotation.HtmlLexer
 
HtmlLexer(Reader) - Constructor for class edu.stanford.nlp.annotation.HtmlLexer
 
HtmlLexerConstants - interface edu.stanford.nlp.annotation.HtmlLexerConstants.
 
HtmlLexerTokenManager - class edu.stanford.nlp.annotation.HtmlLexerTokenManager.
 
HtmlLexerTokenManager(SimpleCharStream) - Constructor for class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
HtmlLexerTokenManager(SimpleCharStream, int) - Constructor for class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
HTMLParser - class edu.stanford.nlp.web.HTMLParser.
Parses an HTML document and returns the plain text (and title).
HTMLParser() - Constructor for class edu.stanford.nlp.web.HTMLParser
 
HumanClassifier - class edu.stanford.nlp.ie.pnp.HumanClassifier.
Command-line PNP test to measure human accuracy.
HumanClassifier(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.pnp.HumanClassifier
Constructs a new HumanClassifier to test human accuracy at distinguishing betwene the two given categories.
HYPHEN - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 

I

IAM - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
IClassifier - interface edu.stanford.nlp.classification.internal.IClassifier.
This is the interface for internal (primitive type) classifiers.
IClassifierFactory - interface edu.stanford.nlp.classification.internal.IClassifierFactory.
IClassifierFactory objects take training data and return IClassifier objects.
ID - class edu.stanford.nlp.classify.ID.
 
ID(int) - Constructor for class edu.stanford.nlp.classify.ID
 
IEMan - class edu.stanford.nlp.ie.pcfg.IEMan.
Information Extraction Manager.
IEMan() - Constructor for class edu.stanford.nlp.ie.pcfg.IEMan
constructs a new IEMan.
IEParser - class edu.stanford.nlp.ie.pcfg.IEParser.
Ranks "IE parses" by probability.
IEParser() - Constructor for class edu.stanford.nlp.ie.pcfg.IEParser
 
ignore(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
ignore(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
ignore(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
ignoredFields - Variable in class edu.stanford.nlp.ie.merge.GenericMerger
stores the names of fields that don't participate in the merge
ignoredPenalties - Variable in class edu.stanford.nlp.ie.merge.GenericMerger
stores the names of fields that are allowed to conflict
ignoreField(String) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
For the purposes of ranking, a relational field whose name matches the one passed into this method is ignored.
IHAVEBEEN - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
ILLBE - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
IM - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
image - Variable in class edu.stanford.nlp.annotation.Token
The string image of the token.
image - Variable in class edu.stanford.nlp.ie.desc.Token
The string image of the token.
ImprovedIterative() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Iterate until convergence.
ImprovedIterative(int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Does a fixed number of IIS iterations
in(Set) - Method in class edu.stanford.nlp.dbm.OhsumedDocument
Returns true if Document is in UIDs
inc(int, int, int, float) - Method in class edu.stanford.nlp.mt.Array3
 
inc(int, int, int, int, float) - Method in class edu.stanford.nlp.mt.Array4
 
incCnt(int) - Method in class edu.stanford.nlp.mt.DoubleIntHolder
 
incCount(double) - Method in class edu.stanford.nlp.mt.ProbCountHolder
 
incCount(double) - Method in class edu.stanford.nlp.redwoods.ProbCountHolder
 
incCount(int) - Method in class edu.stanford.nlp.mt.WordEx
 
incCount(int) - Method in class edu.stanford.nlp.mt.ATable
 
incCount(int, float) - Method in class edu.stanford.nlp.mt.ATableHMM
Increment the count for a jump of distance distance
incCount(int, int, double) - Method in class edu.stanford.nlp.mt.TPHandlerNULL
Increment the count for c(fj|ei)
incCount(int, int, double) - Method in class edu.stanford.nlp.mt.TPHandlerNM
Increment the count for c(fj|ei)
incCount(int, int, double) - Method in class edu.stanford.nlp.mt.TPHandlerFE1
Increment the count for c(fj|ei)
incCount(int, int, double) - Method in class edu.stanford.nlp.mt.TPHandler
Increment the count for c(fj|ei)
incCount(int, int, double) - Method in class edu.stanford.nlp.mt.TPHandlerEtags
Increment the count for c(fj|ei)
incCount(int, int, double) - Method in class edu.stanford.nlp.mt.CHandler
Increment the count for c(choose|ei) by val and also increment the probability for not choose by 1-val
incCount(int, int, double) - Method in class edu.stanford.nlp.mt.AlHandler
Increment the count for c(choose|ei) by val and also increment the probability for not choose by 1-val
incCount(int, int, float) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Increment the count for a jump of distance distance
incCount(int, int, float) - Method in class edu.stanford.nlp.mt.ATableHMM2
Increment the count for a jump of distance distance
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2Tags
Increment the count for c(choose|ei) by val and also increment the probability for not choose by 1-val
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQSG
 
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQ
increment the count for c(i|i_p,i_pp) by val
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2
increment the count for c(i|i_p,i_pp) by val
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2E
increment the count for c(i|i_p,i_pp) by val
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1Tags
Increment the count for c(choose|ei) by val and also increment the probability for not choose by 1-val
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1SG
 
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1F
Increment the count for c(choose|ei) by val and also increment the probability for not choose by 1-val
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandler
 
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1
Increment the count for c(choose|ei) by val and also increment the probability for not choose by 1-val
incCount(int, int, int[], double) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1E
Increment the count for c(choose|ei) by val and also increment the probability for not choose by 1-val
incCount(int, int, int, double) - Method in class edu.stanford.nlp.mt.ATableHMMFull
Increment the corresponding counts
incCount(int, int, int, double) - Method in class edu.stanford.nlp.mt.ATable
 
incCount(int, int, int, double) - Method in class edu.stanford.nlp.mt.ATableHMM
Increment the corresponding counts
incCount(int, int, int, int, double) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Increment the corresponding counts
incCount(int, int, int, int, double) - Method in class edu.stanford.nlp.mt.ATableHMM2
Increment the corresponding counts
incCount(int, int, int, int, double) - Method in class edu.stanford.nlp.mt.ATable
 
incCount(IntPair, double) - Method in class edu.stanford.nlp.mt.TTable
 
incCount(IntPair, double, boolean) - Method in class edu.stanford.nlp.mt.TTable
 
incCount(Object, double) - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
incCount(Object, Object, double) - Method in class edu.stanford.nlp.redwoods.RuleTable
 
incCountChoose(int, double) - Method in class edu.stanford.nlp.mt.PTable
 
incCountGo(int, double) - Method in class edu.stanford.nlp.mt.StayGoTable
 
incCountGo(int, double, int) - Method in class edu.stanford.nlp.mt.StayGoTables
 
incCountInitPos(int, float) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Increment the count for an initial jump to position I
incCountInitPos(int, float) - Method in class edu.stanford.nlp.mt.ATableHMM2
Increment the count for an initial jump to position I
incCountInitPos(int, float) - Method in class edu.stanford.nlp.mt.ATableHMM
Increment the count for an initial jump to position I
incCountStay(int, double) - Method in class edu.stanford.nlp.mt.StayGoTable
 
incCountStay(int, double, int) - Method in class edu.stanford.nlp.mt.StayGoTables
 
incEmpty(float) - Method in class edu.stanford.nlp.mt.ATableHMM
Increment the count for a zero jump with cnt
incEmpty(int, float) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Increment the count for a zero jump with cnt
incEmpty(int, float) - Method in class edu.stanford.nlp.mt.ATableHMM2
Increment the count for a zero jump with cnt
incIn(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incPart(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incRB(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incrementCount(HashMap, Object) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Adds 1 to the count for the given key in the given map.
incrementCount(HashMap, String) - Static method in class edu.stanford.nlp.ie.hmm.Corpus
 
incrementCountByLength(HashMap, int, Object) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Adds 1 to the count for the given key in the given map under the given length.
incrementFN() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds one to the count of false negatives.
incrementFP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds one to the count of false positives.
incrementTP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds one to the count of true positives.
incThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incVal(double) - Method in class edu.stanford.nlp.mt.DoubleIntHolder
 
incValue(int) - Method in class edu.stanford.nlp.mt.IntHolder
 
InDataStreamFile - class edu.stanford.nlp.io.InDataStreamFile.
 
InDataStreamFile(File) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
 
InDataStreamFile(String) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
 
indentedListPrint() - Method in class edu.stanford.nlp.trees.Tree
Indented list printing of a tree.
indentedListPrint(String, String) - Method in class edu.stanford.nlp.trees.Tree
Indented list printing of a tree with each line indented
index - Variable in class edu.stanford.nlp.cluster.SimpleCluster
cluster index
index() - Method in class edu.stanford.nlp.linalg.Entry
returns row index of Entry.
IndexedSet - interface edu.stanford.nlp.dbm.IndexedSet.
List in which no duplicate Objects may be stored
indexedValues - Variable in class edu.stanford.nlp.maxent.iis.Feature
This will contain the (x,y) pairs for which the feature is non-zero in case it is sparse.
IndexOf(List, Object) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Gets the index of an index of an object within a list.
indexOf(Object) - Method in class edu.stanford.nlp.dbm.DBIndexedSet
 
InFile - class edu.stanford.nlp.mt.InFile.
 
InFile(File) - Constructor for class edu.stanford.nlp.mt.InFile
 
InFile(String) - Constructor for class edu.stanford.nlp.mt.InFile
 
InfomapSmoother - class edu.stanford.nlp.classify.InfomapSmoother.
 
InfomapSmoother() - Constructor for class edu.stanford.nlp.classify.InfomapSmoother
 
init() - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init((String)null,null,true)
init() - Method in class edu.stanford.nlp.mt.WordExPair
 
init() - Method in class edu.stanford.nlp.mt.TPHandlerNULL
this init is different since we need to cache the tag probs as well
init() - Method in class edu.stanford.nlp.mt.TPHandlerNM
 
init() - Method in class edu.stanford.nlp.mt.TPHandlerFE1
 
init() - Method in class edu.stanford.nlp.mt.TPHandler
 
init() - Method in class edu.stanford.nlp.mt.TPHandlerEtags
this init is different since we need to cache the tag probs as well
init() - Method in class edu.stanford.nlp.mt.Model1
 
init() - Method in class edu.stanford.nlp.mt.HMM
 
init() - Method in class edu.stanford.nlp.mt.CHandler
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM2Tags
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQSG
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQ
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM2
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM2E
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM1Tags
 
init() - Method in class edu.stanford.nlp.mt.SentenceHandler
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM1SG
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM1F
 
init() - Method in class edu.stanford.nlp.mt.AlHandler
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM1
 
init() - Method in class edu.stanford.nlp.mt.AlHandlerHMM1E
 
init() - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
init() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
init() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
init() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
init() - Method in class edu.stanford.nlp.tagger.maxent.History
 
init() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
init() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
init(Extractor[]) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
set the extractors from an array
init(File) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),true)
init(File, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),keepOriginalText)
init(File, String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textFile,title,true)
init(File, String, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Inits a new BasicDocument by reading in the text from the given File.
init(List) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(words,null)
init(List, String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Inits a new BasicDocument with the given list of words and title.
init(Reader) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textReader,null,true)
init(Reader, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textReader,null,keepOriginalText)
init(Reader, String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textReader,title,true)
init(Reader, String, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Inits a new BasicDocument by reading in the text from the given Reader.
init(String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(text,null,true)
init(String) - Static method in class edu.stanford.nlp.tagger.maxent.StaticStringTagger
Initializer that loads the dictionary.
init(String, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(text,null,keepOriginalText)
init(String, String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(text,title,true)
init(String, String, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Inits a new BasicDocument with the given text contents and title.
init(URL) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textURL,textURL.toExternalForm(),true)
init(URL, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textURL,textFile.toExternalForm(),keepOriginalText)
init(URL, String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Calls init(textURL,title,true)
init(URL, String, boolean) - Method in class edu.stanford.nlp.dbm.BasicDocument
Constructs a new BasicDocument by reading in the text from the given URL.
init1() - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
init1() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
initCounts() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Initializes and zeroes all variables and counts before training.
initEmissions() - Method in class edu.stanford.nlp.ie.hmm.HMM
Sets up the initial emissions of a created HMM using the training corpus.
initHashVals() - Method in class edu.stanford.nlp.maxent.iis.Feature
Creates a hashmap with keys pairs (x,y) and values the value of the function at the pair; required for use of getVal(x,y)
initHistory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
initHistoryNew() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
initialize_alpha(Array) - Method in class edu.stanford.nlp.cluster.HiddenState
 
initialize_alpha(DataCollection) - Method in class edu.stanford.nlp.cluster.HiddenState
allocates memory for alpha[][]
initialize_alpha(int, Array) - Method in class edu.stanford.nlp.cluster.HiddenState
allocates memory for alpha[d]
initialize_beta(Array) - Method in class edu.stanford.nlp.cluster.HiddenState
 
initialize_beta(DataCollection) - Method in class edu.stanford.nlp.cluster.HiddenState
allocates memory for beta[][]
initialize_beta(int, Array) - Method in class edu.stanford.nlp.cluster.HiddenState
allocates memory for beta[d]
initialize_transition_probs() - Method in class edu.stanford.nlp.cluster.HiddenState
Initialize: initializes random values pr_transition[], an array of transition probabilities from this state to all the other states Note: does not initialize values for pi (the probability that this class is the initial state) because the value for pi depends on the value for pi of all the other clusters, since sum_over_z(pi)=1 The value for pi is set in LSSA
initialize() - Method in class edu.stanford.nlp.cluster.PLSI
Initialize each class with arbitrary priors P(z), P(w|z), P(d|z).
initialize() - Method in class edu.stanford.nlp.cluster.PDDP
 
initialize() - Method in class edu.stanford.nlp.cluster.Kmeans
Initializes clusters by assigning each point randomly to a cluster
initialize(ATable) - Method in class edu.stanford.nlp.mt.ATableHMMFull
 
initialize(ATable) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
initialize(ATable) - Method in class edu.stanford.nlp.mt.ATableHMM2
 
initialize(ATable) - Method in class edu.stanford.nlp.mt.ATable
 
initialize(ATable) - Method in class edu.stanford.nlp.mt.ATableHMM
 
initialize(DataCollection) - Method in class edu.stanford.nlp.cluster.AbstractClusteringMethod
sets values for db, nt, nd;
initialize(double) - Method in class edu.stanford.nlp.mt.PTable
Initialize the table with some given value of probability of choose
initialize(double) - Method in class edu.stanford.nlp.mt.StayGoTables
 
initialize(double) - Method in class edu.stanford.nlp.mt.StayGoTable
Initialize the table with some given value of stay
initialize(GrowableMatrix, IndexedSet) - Method in class edu.stanford.nlp.dbm.DataMatrix
initializes DataMatrix with Matrix m and SerialIndexed set f
initialize(int) - Method in class edu.stanford.nlp.cluster.SimilarityMatrix
initializes similarities matrix to be a m x m square matrix, where m=size the matrix is of type ArrayListMatrix, the columns of which are of type GrowableDenseDoubleArray
initialize(LabeledDataCollection, DataCollection) - Method in class edu.stanford.nlp.classify.AbstractClassifier
 
initializeATables(int) - Method in class edu.stanford.nlp.mt.HMM
Initialize the alignment tables for tag sequences with enough support Initializes according to a mask which specifies which tags to use for alignment conditioning
initializeChildren() - Method in class edu.stanford.nlp.cluster.HHCluster
Initializes HHCluster's children
initializeTable() - Method in class edu.stanford.nlp.mt.Model1
 
initializeTable() - Method in class edu.stanford.nlp.mt.HMM
 
initializeTransitions() - Method in class edu.stanford.nlp.ie.hmm.Structure
initializes the transition weights in the HMM to "sensible" values
initializeUniform() - Method in class edu.stanford.nlp.mt.ATableHMMFull
Initialize the probabilities in a brain dead manner uniformly
initializeUniform() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Initialize the probabilities in a brain dead manner uniformly
initializeUniform() - Method in class edu.stanford.nlp.mt.ATableHMM2
Initialize the probabilities in a brain dead manner uniformly
initializeUniform() - Method in class edu.stanford.nlp.mt.ATable
 
initializeUniform() - Method in class edu.stanford.nlp.mt.ATableHMM
Initialize the probabilities in a brain dead manner uniformly
initialState() - Method in class edu.stanford.nlp.fsm.DFSA
 
initTable() - Method in class edu.stanford.nlp.mt.Perplexity
 
initTableUniform() - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
initTemplates() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
initTemplatesNew() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
initUniform() - Method in class edu.stanford.nlp.redwoods.RuleTable
 
input() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
inputToTransition - Variable in class edu.stanford.nlp.fsm.DFSAState
 
insert(Collection) - Method in class edu.stanford.nlp.dbm.RestrictedDataMatrix
 
insert(Collection) - Method in class edu.stanford.nlp.dbm.DataMatrix
inserts the elements in a Collection into the DataMatrix, and returns the inserted FeatureVector
insert(Collection) - Method in class edu.stanford.nlp.dbm.BOFDataMatrix
 
insert(int, int, double, double) - Method in class edu.stanford.nlp.mt.TTable
 
insert(Iterator) - Method in class edu.stanford.nlp.dbm.LabelMatrix
creates boolean vector.
insertState(int, int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Inserts a new state of given type AFTER the specified state.
InstanceMerger - interface edu.stanford.nlp.ie.merge.InstanceMerger.
Interface for combining together partial instances of (presumeably) the same entity.
intArrToByteArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
intArrToByteArr(int[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
intArrToByteArr(int[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
intercept - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
intern(Internable) - Method in class edu.stanford.nlp.util.Interner
 
Internable - interface edu.stanford.nlp.util.Internable.
Internable: Interface for objects which are to be interned.
Interner - class edu.stanford.nlp.util.Interner.
Interner: Class for interning things.
Interner() - Constructor for class edu.stanford.nlp.util.Interner
 
internOnly() - Static method in class edu.stanford.nlp.trees.TreeNormalizers
 
Interpolator - class edu.stanford.nlp.ie.pcfg.Interpolator.
 
Interpolator(List) - Constructor for class edu.stanford.nlp.ie.pcfg.Interpolator
 
interrupt() - Method in class edu.stanford.nlp.util.SwingWorker
A new method that interrupts the worker thread.
intersect(int[], int[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
intersect(int[], int[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
Intersection(List, List) - Static method in class edu.stanford.nlp.ie.pcfg.Util
calculates the intersection of list1 and list2.
IntHolder - class edu.stanford.nlp.mt.IntHolder.
 
IntHolder() - Constructor for class edu.stanford.nlp.mt.IntHolder
 
IntHolder(int) - Constructor for class edu.stanford.nlp.mt.IntHolder
 
IntPair - class edu.stanford.nlp.mt.IntPair.
Title: Statistical MT tool Description: Your description Copyright: Copyright (c) 1999 Company: Stanford University
IntPair() - Constructor for class edu.stanford.nlp.mt.IntPair
 
IntPair(int, int) - Constructor for class edu.stanford.nlp.mt.IntPair
 
IntQuadruple - class edu.stanford.nlp.mt.IntQuadruple.
 
IntQuadruple() - Constructor for class edu.stanford.nlp.mt.IntQuadruple
 
IntQuadruple(int, int, int, int) - Constructor for class edu.stanford.nlp.mt.IntQuadruple
 
IntTriple - class edu.stanford.nlp.mt.IntTriple.
 
IntTriple() - Constructor for class edu.stanford.nlp.mt.IntTriple
 
IntTriple(int, int, int) - Constructor for class edu.stanford.nlp.mt.IntTriple
 
IntTuple - class edu.stanford.nlp.mt.IntTuple.
 
IntTuple - class edu.stanford.nlp.redwoods.IntTuple.
 
IntTuple() - Constructor for class edu.stanford.nlp.mt.IntTuple
 
IntTuple() - Constructor for class edu.stanford.nlp.redwoods.IntTuple
 
IntTuple(int) - Constructor for class edu.stanford.nlp.mt.IntTuple
 
IntTuple(int) - Constructor for class edu.stanford.nlp.redwoods.IntTuple
 
intValue() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
intValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
isAccepting() - Method in class edu.stanford.nlp.fsm.DFSAState
 
isActive() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
isClosed(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
isContinuable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
isDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns true if the argument is a "dangerous" double to have around, namely one that is infinite, NaN or zero.
isDiscovered(Edge) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
isEmpty() - Method in class edu.stanford.nlp.maxent.iis.ByteFeature
 
isEmpty() - Method in class edu.stanford.nlp.maxent.iis.Feature
 
isEmpty() - Method in class edu.stanford.nlp.maxent.iis.BinaryFeature
 
isEmpty() - Method in class edu.stanford.nlp.stats.HashObservation
Checks if this is the empty observation which specifies the value of no random variables.
isEmpty() - Method in class edu.stanford.nlp.util.ArrayMap
 
isEmpty() - Method in interface edu.stanford.nlp.util.Heap
Returns true iff the heap is empty.
isEmpty() - Method in class edu.stanford.nlp.util.ArrayHeap
Checks if the heap is empty.
isEmpty() - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
isEmpty(Instance) - Method in class edu.stanford.nlp.ie.merge.AbstractInstanceMerger
Indicates whether the Instance has no fields that contain relational information.
isFieldExtractable(Concept, Relation) - Method in interface edu.stanford.nlp.ie.FieldExtractor
Returns whether the given Relation for the given Concept can be extracted by this FieldExtractor.
isFieldExtractable(Concept, Relation) - Method in class edu.stanford.nlp.ie.AbstractFieldExtractor
Default implementation, that simply looks through the results of getExtractableFields(Concept) to see if the given Relation is extractable.
isFinished(Edge) - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
isLabelShowing() - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Returns whether to paint the number of the value on the cell.
isLeaf() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Indicates that this is a leaf.
isLeaf() - Method in class edu.stanford.nlp.trees.Tree
Returns true if the tree is a leaf, false otherwise.
isNegative(String) - Method in class edu.stanford.nlp.classify.NegativeFilter
Checks whether a token is "negative"
isOk(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
isOk(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
isOk(String) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
isolateContext() - Method in class edu.stanford.nlp.ie.hmm.Corpus
Isolates context of all targetFields.
isPartikleTakingVerb(String, String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris
 
isPassive() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
isPopulated() - Method in class edu.stanford.nlp.mt.ATableHMMFull
 
isPopulated() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
isPopulated() - Method in class edu.stanford.nlp.mt.ATableHMM2
 
isPopulated() - Method in class edu.stanford.nlp.mt.ATable
 
isPopulated() - Method in class edu.stanford.nlp.mt.ATableHMM
 
isPopulated(BinaryFeature) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorMorpho
 
isPopulated(TaggerFeature) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
isPreTerminal() - Method in class edu.stanford.nlp.trees.Tree
Return whether this node is a preterminal or not.
isRare(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
isSimple() - Method in class edu.stanford.nlp.mt.Word
 
isTag - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
isTag - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
isToNull(int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
isTrue(History, String) - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplate
 
isTrue(History, String, int, int) - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplate
 
isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.CollinsSemanticHeadFinder
 
isVeryDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns true if the argument is a "very dangerous" double to have around, namely one that is infinite or NaN.
iterate(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
 
iterator() - Method in class edu.stanford.nlp.cluster.VectorClusters
 
iterator() - Method in class edu.stanford.nlp.cluster.MatrixDecompositionClusters
Returns an iterator of Clusters
iterator() - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Returns an iterator of Clusters
iterator() - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Returns an iterator of Clusters
iterator() - Method in class edu.stanford.nlp.io.FileSequentialCollection
Return an Iterator over files in the collection.
iterator() - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
Returns a set view of the Entries contained in this Array.
iterator() - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
Returns a set view of the Entries contained in this Array.
iterator() - Method in class edu.stanford.nlp.linalg.DenseNumberArray
Returns a set view of the Entries contained in this Array.
iterator() - Method in class edu.stanford.nlp.linalg.DenseIntArray
Returns a set view of the Entries contained in this Array.
iterator() - Method in class edu.stanford.nlp.linalg.DenseDoubleArray
Returns a set view of the Entries contained in this Array.
iterator() - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
Returns an iterator over the entries in the matrix
iterator() - Method in interface edu.stanford.nlp.linalg.Array
Returns an iterator over the entries in the matrix
iterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
Return an Iterator over Trees in the Treebank.
iterator() - Method in class edu.stanford.nlp.trees.DiskTreebank
Return an Iterator over Trees in the Treebank.
iterator() - Method in class edu.stanford.nlp.trees.MemorySentencebank
Return an Iterator over Sentences in the Sentencebank
iterator() - Method in class edu.stanford.nlp.trees.Treebank
Return an Iterator over Trees in the Treebank.
iterator() - Method in class edu.stanford.nlp.trees.Sentencebank
Return an Iterator over Sentences in the Sentencebank
iterator() - Method in class edu.stanford.nlp.trees.DiskSentencebank
Return an Iterator over Sentences in the Sentencebank.
iterator() - Method in class edu.stanford.nlp.trees.Tree
Returns an iterator over the nodes of the tree.
iterator() - Method in class edu.stanford.nlp.util.LikelihoodBeam
 
IWAS - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
IWILLBE - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 

J

jimDefaultStates() - Static method in class edu.stanford.nlp.ie.hmm.Structure
Initializes a reasonable default structure, with a background, prefix and suffix states and some number of target states.
jj_nt - Variable in class edu.stanford.nlp.annotation.HtmlLexer
 
jj_nt - Variable in class edu.stanford.nlp.ie.desc.Chunker
 
jjnewLexState - Static variable in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
jjstrLiteralImages - Static variable in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
jjstrLiteralImages - Static variable in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
join(List) - Static method in class edu.stanford.nlp.util.KleinUtils
 
join(List, String) - Static method in class edu.stanford.nlp.util.KleinUtils
 
jsDivergence(Distribution) - Method in class edu.stanford.nlp.stats.AbstractDistribution
 
jsDivergence(Distribution) - Method in interface edu.stanford.nlp.stats.Distribution
 
jump(int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 

K

keys() - Method in class edu.stanford.nlp.database.SLJDB
 
keys() - Method in class edu.stanford.nlp.database.HashDB
 
keys() - Method in class edu.stanford.nlp.database.DummyDB
Returns an Iterator over keys in database
keys() - Method in interface edu.stanford.nlp.database.SimpleDatabase
Returns an Iterator over keys in database
kind - Variable in class edu.stanford.nlp.annotation.Token
An integer that describes the kind of this token.
kind - Variable in class edu.stanford.nlp.ie.desc.Token
An integer that describes the kind of this token.
kitchenSinkTransformedBobChris() - Static method in class edu.stanford.nlp.trees.TreeNormalizers
 
klDivergence(Distribution) - Method in class edu.stanford.nlp.stats.AbstractDistribution
 
klDivergence(Distribution) - Method in interface edu.stanford.nlp.stats.Distribution
 
KleinUtils - class edu.stanford.nlp.util.KleinUtils.
KleinUtils Class for random things.
KlNMF - class edu.stanford.nlp.stats.KlNMF.
Does KL NMF
KlNMF(Map) - Constructor for class edu.stanford.nlp.stats.KlNMF
 
Kmeans - class edu.stanford.nlp.cluster.Kmeans.
K-means Clustering Algorithm.
Kmeans() - Constructor for class edu.stanford.nlp.cluster.Kmeans
 
KNN - class edu.stanford.nlp.classify.KNN.
K nearest-neighbors classifier.
KNN() - Constructor for class edu.stanford.nlp.classify.KNN
 
known(String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
known(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 

L

l - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
 
L1 - class edu.stanford.nlp.linalg.L1.
L1 norm
L1() - Constructor for class edu.stanford.nlp.linalg.L1
 
L2 - class edu.stanford.nlp.linalg.L2.
L2 norm
L2() - Constructor for class edu.stanford.nlp.linalg.L2
 
label - Variable in class edu.stanford.nlp.lexgram.SimpleRule
 
label - Variable in class edu.stanford.nlp.lexgram.DFSARule
 
Label - interface edu.stanford.nlp.trees.Label.
Something that implements the Label interface can act as a constituent, node, or word label with linguistic attributes.
label() - Method in class edu.stanford.nlp.dbm.Context
 
label() - Method in class edu.stanford.nlp.dbm.BasicDocument
Returns the first label for this Document, or null if none have been set.
label() - Method in class edu.stanford.nlp.dbm.BasicDatum
Returns the first label for this Datum, or null if none have been set.
label() - Method in class edu.stanford.nlp.lexgram.SimpleRule
 
label() - Method in class edu.stanford.nlp.lexgram.DFSARule
 
label() - Method in interface edu.stanford.nlp.lexgram.Rule
 
label() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Returns the label associated with the current node, or null if there is no label
label() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Returns the label associated with the current node.
label() - Method in class edu.stanford.nlp.trees.LabeledConstituent
 
label() - Method in class edu.stanford.nlp.trees.Constituent
access label
label() - Method in class edu.stanford.nlp.trees.Tree
Returns the label associated with the current node, or null if there is no label.
label() - Method in interface edu.stanford.nlp.trees.Labeled
Returns the Object's label.
labelColor - Static variable in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
 
Labeled - interface edu.stanford.nlp.trees.Labeled.
Interface for Objects which have a Label.
LabeledConstituent - class edu.stanford.nlp.trees.LabeledConstituent.
A LabeledConstituent object represents a single bracketing in a derivation, including start and end points and Label information, but excluding probabilistic information.
LabeledConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
Create an empty LabeledConstituent object.
LabeledConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
Create a LabeledConstituent object with given values.
LabeledConstituent(int, int, Label) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
Create a LabeledConstituent object with given values.
LabeledDataCollection - interface edu.stanford.nlp.dbm.LabeledDataCollection.
Interface for hand-classified data collections.
LabeledScoredConstituent - class edu.stanford.nlp.trees.LabeledScoredConstituent.
A LabeledScoredConstituent object defines an edge in a graph with a label and a score.
LabeledScoredConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent
Create an empty LabeledScoredConstituent object.
LabeledScoredConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent
Create a LabeledScoredConstituent object with given values.
LabeledScoredConstituent(int, int, Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent
Create a LabeledScoredConstituent object with given values.
LabeledScoredConstituentFactory - class edu.stanford.nlp.trees.LabeledScoredConstituentFactory.
A LabeledScoredConstituentFactory acts as a factory for creating objects of class LabeledScoredConstituent.
LabeledScoredConstituentFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
 
LabeledScoredTreeFactory - class edu.stanford.nlp.trees.LabeledScoredTreeFactory.
A LabeledScoredTreeFactory acts as a factory for creating trees with labels and scores.
LabeledScoredTreeFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Make a TreeFactory that uses LabeledScoredTree trees, where the labels are of class StringLabel
LabeledScoredTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Make a treefactory that uses LabeledScoredTree trees, where the labels are as specified by the user.
LabeledScoredTreeLeaf - class edu.stanford.nlp.trees.LabeledScoredTreeLeaf.
A LabeledScoredTreeLeaf represents the leaf of a tree in a parse tree with labels and scores.
LabeledScoredTreeLeaf() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Create an empty leaf parse tree with an empty word.
LabeledScoredTreeLeaf(Label) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Create a leaf parse tree with given word.
LabeledScoredTreeLeaf(Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Create a leaf parse tree with given word and score.
LabeledScoredTreeNode - class edu.stanford.nlp.trees.LabeledScoredTreeNode.
A LabeledScoredTreeNode represents a tree composed of a root label, a score, and an array of daughter parse trees.
LabeledScoredTreeNode() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
Create an empty parse tree.
LabeledScoredTreeNode(Label, List) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
Create parse tree with given root and array of daughter trees.
LabeledScoredTreeReaderFactory - class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory.
This class implements a TreeReaderFactory that produces labeled, scored array-based Trees, which have been cleaned up to delete empties, etc.
LabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
 
LabelFactory - interface edu.stanford.nlp.trees.LabelFactory.
A LabelFactory object acts as a factory for creating objects of class Label, or some descendent class.
labelFactory() - Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
Returns a factory that makes WeightedFollowedTaggedWords
labelFactory() - Method in class edu.stanford.nlp.trees.TaggedWord
Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.trees.NullLabel
Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.CategoryWordTag
Return a factory for this kind of label (i.e., CategoryWordTag).
labelFactory() - Method in class edu.stanford.nlp.trees.Category
Return a factory for this kind of label (i.e., Category).
labelFactory() - Method in class edu.stanford.nlp.trees.AbstractLabel
Returns a factory that makes Labels of the appropriate sort.
labelFactory() - Method in class edu.stanford.nlp.trees.StringLabel
Return a factory for this kind of label (i.e., StringLabel).
labelFactory() - Method in class edu.stanford.nlp.trees.Word
Return a factory for this kind of label (i.e., Word).
labelFactory() - Method in interface edu.stanford.nlp.trees.Label
Returns a factory that makes this kind of label.
LabelMatrix - class edu.stanford.nlp.dbm.LabelMatrix.
Wrapper for a Matrix whose columns are Label Vectors of Labeled Objects
LabelMatrix(GrowableMatrix, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.LabelMatrix
 
LabelMatrix(String, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.LabelMatrix
 
labels - Variable in class edu.stanford.nlp.dbm.LabelMatrix
 
labels - Variable in class edu.stanford.nlp.dbm.BasicDocument
Label(s) for this document.
labels() - Method in class edu.stanford.nlp.dbm.MedlineDocument
 
labels() - Method in class edu.stanford.nlp.dbm.Context
 
labels() - Method in class edu.stanford.nlp.dbm.BasicDocument
Returns the complete List of labels for this Document.
labels() - Method in class edu.stanford.nlp.dbm.BasicDatum
Returns the complete List of labels for this Datum, which may be empty.
labels() - Method in class edu.stanford.nlp.trees.Constituent
Access labels -- actually always a singleton here.
labels() - Method in class edu.stanford.nlp.trees.Tree
Get the set of all node and leaf Labels, null or otherwise, contained in the tree.
labels() - Method in interface edu.stanford.nlp.trees.Labeled
Gives back all labels for this thing.
lambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
These are the model parameters that have to be learned
lambda_converged - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolve - class edu.stanford.nlp.maxent.iis.LambdaSolve.
This is the main class that does the core computation in IIS.
LambdaSolve() - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolve(Problem, double, double) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolve(String) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
reads the prameters from a file
LambdaSolveBinary - class edu.stanford.nlp.maxent.iis.LambdaSolveBinary.
 
LambdaSolveTagger - class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger.
This module does the working out of lambda parameters for binary tagger features.
lastChild() - Method in class edu.stanford.nlp.trees.Tree
Returns the last child of a tree, or null if none
lastVerb - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbDist - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbPT - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbThat - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbVB - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbVBN - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
learnCharInterpolationConstants() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Learns good weights for deleted interpolation in the char n-gram model via EM.
learnCharWordInterpolationConstants() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Computes the best interpolation weights for the char n-gram vs word model with a line search.
learnLengthInterpolationConstants() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Learns good weights for deleted interpolation in the length n-gram model via EM.
learnLengthNormalizations() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Learns a constant for each category to normalize word probabilities by length.
learnPriorBoost() - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Sets the log-prior multiplier (priorBoost) to the best value on the held-out set.
leftChild() - Method in class edu.stanford.nlp.cluster.HHCluster
Returns left child of HHCluster
leftPad(Object, int) - Static method in class edu.stanford.nlp.util.KleinUtils
 
leftPad(String, int) - Static method in class edu.stanford.nlp.util.KleinUtils
 
leftWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
legitimate(int, int, int) - Method in class edu.stanford.nlp.mt.HMM
returns true if i can legitimately follow i_p
len() - Method in class edu.stanford.nlp.maxent.iis.Feature
 
len() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
length() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
Implementation of the TagScorer interface follows
length() - Method in class edu.stanford.nlp.trees.Sentence
A convenience method since we normally say sentences have a length.
lengthBinCutoffs - Static variable in class edu.stanford.nlp.ie.pnp.PnpClassifier
 
lengthBinCutoffs - Static variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
lengthConvergenceMargin - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
lengthCutoff - Static variable in class edu.stanford.nlp.ie.pcfg.TBMan
The TBMan parses sentences as it reads them.
lengthenPrefix(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Legacy method for modifying the structure.
lengthenSuffix(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Legacy method for modifying the structure.
lengthenTarget(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Legacy method for modifying the structure.
lengthInterpolationConstants - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
lengthNormalization - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
lengthNormalizations - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
lengthSequenceCounts - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
LexicalizedParser - class edu.stanford.nlp.parser.lexparser.LexicalizedParser.
A reasonably good lexicalized pcfg parser.
LexicalizedParser(String) - Constructor for class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Construct a new LexicalizedParser.
LexicalizedParser(String, FileFilter) - Constructor for class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Construct a new LexicalizedParser.
LexicalizedParser(String, FileFilter, int) - Constructor for class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Construct a new LexicalizedParser.
Lexicon - interface edu.stanford.nlp.lexgram.Lexicon.
Lexicon:
lexiconP - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
the mixing ratio between the PNPC lexicon (see PNPC, XPNPC) and the uniform lexicon (see GLUtil)
lexStateNames - Static variable in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
lexStateNames - Static variable in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
lhs - Variable in class edu.stanford.nlp.ie.pcfg.XRule
the left-hand side of the rule
LikelihoodBeam - class edu.stanford.nlp.util.LikelihoodBeam.
LikelihoodBeam
LikelihoodBeam(int) - Constructor for class edu.stanford.nlp.util.LikelihoodBeam
 
linePrint(int, String) - Static method in class edu.stanford.nlp.util.Dbg
 
LinkedList - class edu.stanford.nlp.classify.LinkedList.
A linked list class.
LinkedList() - Constructor for class edu.stanford.nlp.classify.LinkedList
 
ln - Static variable in class edu.stanford.nlp.ie.pnp.PnpClassifier
 
ln - Static variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
load(String) - Method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
 
loadAllExtractors(File) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Looks for all .obj files in the given directory and tries to load them as FieldExtractors.
loadExtractor(File) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Reads in a previously serialized FieldExtractor from the given input file and returns it.
loadMerger(File) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Reads in a previously serialized InstanceMerger from the given input file and returns it.
loadOntology(String) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Creates a new Ontology by reading in the given file or URL, which should be a .kaon file.
loadPath(File) - Method in class edu.stanford.nlp.trees.Treebank
Load a sequence of trees from given directory and its subdirectories.
loadPath(File) - Method in class edu.stanford.nlp.trees.Sentencebank
Load a sequence of trees from given directory and its subdirectories.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Load trees from given directory.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.DiskTreebank
Load trees from given directory.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.MemorySentencebank
Load sentences from given directory.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
Load trees from given path specification.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.Sentencebank
Load trees from given path specification
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.DiskSentencebank
Load trees from given directory.
loadPath(File, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
Load trees from given directory.
loadPath(File, String, boolean) - Method in class edu.stanford.nlp.trees.Sentencebank
Load trees from given directory.
loadPath(String) - Method in class edu.stanford.nlp.trees.Treebank
Load a sequence of trees from given directory and its subdirectories.
loadPath(String) - Method in class edu.stanford.nlp.trees.Sentencebank
Load a sequence of trees from given directory and its subdirectories.
loadPath(String, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
Load a sequence of trees from given directory and its subdirectories which match the file filter.
loadPath(String, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
Load trees from given directory.
LocusLink - class edu.stanford.nlp.dbm.LocusLink.
A DataCollection where each Data Item is a LocusLink document about a gene.
LocusLink() - Constructor for class edu.stanford.nlp.dbm.LocusLink
Creates an empty LocusLink document collection
LocusLink(ArrayList) - Constructor for class edu.stanford.nlp.dbm.LocusLink
Creates a LocusLink document collection given an ArrayList of LocusLink IDs
LocusLinkDocument - class edu.stanford.nlp.dbm.LocusLinkDocument.
A LocusLink document about a gene with LocusLink ID locusID.
LocusLinkDocument(int) - Constructor for class edu.stanford.nlp.dbm.LocusLinkDocument
Constructs a LocusLink document for the gene with LocusLinkID locusID
LocusLinkDocument(URL) - Constructor for class edu.stanford.nlp.dbm.LocusLinkDocument
Constructs a LocusLink Document by setting the title and text variables.
LocusLinkParser - class edu.stanford.nlp.web.LocusLinkParser.
A parser which parses a LocusLink HTML Document.
LocusLinkParser() - Constructor for class edu.stanford.nlp.web.LocusLinkParser
 
log_r - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
log_Z - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
logAdd(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the log of the sum of two numbers, which are themselves input in log form.
logLikelihood() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
logLikelihood(Corpus) - Method in class edu.stanford.nlp.ie.hmm.HMM
Calculate the loglikelihood of the passed in corpus according to to the model (stored in class variables).
logLikelihoodScratch() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
calculate the log likelihood from scrath , hashing the conditional probabilities in pcond which we will use for the gradient later
logLikelihoodScratch() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
calculate the log likelihood from scratch, hashing the conditional probabilities in pcond which we will use for the derivative later.
logOddsTransform() - Method in class edu.stanford.nlp.cluster.VectorClusters
 
logOddsTransform() - Method in interface edu.stanford.nlp.cluster.Clusters
transforms feature values to log-odds values, where the value of feature w in cluster z Value(w,z)=log2(P(w|z)/avg_over_clusters(P(w|z))).
logProbs() - Method in class edu.stanford.nlp.redwoods.RuleTable
 
logProbs() - Method in class edu.stanford.nlp.redwoods.ProductionsTable
replace all probs with their logs
logSum(double[]) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the log of the sum of an array of numbers, which are themselves input in log form.
longArrToByteArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
longArrToByteArr(long[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
longArrToByteArr(long[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
longValue() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
longValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
LookupRule - class edu.stanford.nlp.ie.pcfg.LookupRule.
To be used when mapping rules to XRules (XRules = rules + probabilites).
LookupRule(XRule) - Constructor for class edu.stanford.nlp.ie.pcfg.LookupRule
 
Lowercaser - class edu.stanford.nlp.process.Lowercaser.
Processor whose process method Converts a collection of mixed-case Words to a collection of lowercase Words.
Lowercaser() - Constructor for class edu.stanford.nlp.process.Lowercaser
 
LSSA - class edu.stanford.nlp.cluster.LSSA.
Latent State Sequence Analysis.
LSSA() - Constructor for class edu.stanford.nlp.cluster.LSSA
allocates memory for arrays, initializes all values

M

Mabs(float) - Method in class edu.stanford.nlp.mt.ATableHMMFull
 
Mabs(float) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
Mabs(float) - Method in class edu.stanford.nlp.mt.ATableHMM2
 
Mabs(float) - Method in class edu.stanford.nlp.mt.ATableHMM
 
main(String[]) - Static method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Test the TaggedStreamTokenizer by passing in an html filename argument.
main(String[]) - Static method in class edu.stanford.nlp.annotation.PTBLexer
Runs the scanner on input files.
main(String[]) - Static method in class edu.stanford.nlp.annotation.HtmlLexer
 
main(String[]) - Static method in class edu.stanford.nlp.annotation.HtmlCleaner
Runs HtmlCleaner with default settings on a specified file, printing the cleaned html to standard out.
main(String[]) - Static method in class edu.stanford.nlp.annotation.Annotator
Annotator is run from the command line:
java edu.stanford.nlp.annotation.Annotator [tagFileName]
main(String[]) - Static method in class edu.stanford.nlp.classify.ScoreHandler
 
main(String[]) - Static method in class edu.stanford.nlp.classify.MedlineHandler
 
main(String[]) - Static method in class edu.stanford.nlp.classify.Classify
 
main(String[]) - Static method in class edu.stanford.nlp.dbm.LocusLinkDocument
Returns document as a Collection of words.
main(String[]) - Static method in class edu.stanford.nlp.dbm.BasicDocument
For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.ie.desc.DescExtractorTest
Runs a simple demonstration of the extraction system.
main(String[]) - Static method in class edu.stanford.nlp.ie.desc.DescExtractor
This routine tests the DescExtractor.
main(String[]) - Static method in class edu.stanford.nlp.ie.desc.DescExtractorCreator
Creates and serializes a DescExtractor.
main(String[]) - Static method in class edu.stanford.nlp.ie.desc.Chunker
 
main(String[]) - Static method in class edu.stanford.nlp.ie.ExtractDemo
Run the demo program.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.Trainer
This is a command line utility that builds a serialized extractor for a field.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.Tester
Tests an HMM on a test corpus.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.TargetTrainer
This is a command line utility that builds a serialized extractor for the content of a field.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.StructureLearner
 
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.MultiStructure
Tests that creation doesn't crash...
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.MergeTrainer
Command-line utility for creating a single merged HMM from a set of single-target HMMs and a context HMM.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
Load a serialized HMM and write to serialized HMMSingleFieldExtractor.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.Structure
Provides a sample exercising of the structure creation operations
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.Extractor
Train and test an extractor.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.DiscriminativeHMMDiffFunction
For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.ContextTrainer
This is a command line utility that builds a serialized extractor for the context of a field.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.Corpus
Simply test what gets put into a corpus.
main(String[]) - Static method in class edu.stanford.nlp.ie.hmm.HMM
This is just for testing the forward and backward algorithms.
main(String[]) - Static method in class edu.stanford.nlp.ie.merge.UnscoredMergerCreator
Creates and serializes an UnscoredMerger.
main(String[]) - Static method in class edu.stanford.nlp.ie.pnp.TestScriptGenerator
Generates a shell script to test PnpClassifier with a given data set.
main(String[]) - Static method in class edu.stanford.nlp.ie.pnp.PnpGenerator
Generates random novel PNPs and prints them to stdout.
main(String[]) - Static method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Trains and tests a PnpClassifier on the passed-in files.
main(String[]) - Static method in class edu.stanford.nlp.ie.pnp.HumanClassifier
Runs the commans-line human tester.
main(String[]) - Static method in class edu.stanford.nlp.ie.pnp.DataGenerator
Generates training, test, and answer files from files, one per category.
main(String[]) - Static method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
Opens a new JFrame for a ConfusionMatrixPlotter to display the contents of the given file.
main(String[]) - Static method in class edu.stanford.nlp.ie.regexp.RegexpsFieldExtractorCreator
Creates and serializes a RegexpsFieldExtractor based on field names and regexps passed in from a file.
main(String[]) - Static method in class edu.stanford.nlp.ie.regexp.RegexpExtractorCreator
Creates and serializes a RegexpExtractor using a field name and regexp passed in on the command line.
main(String[]) - Static method in class edu.stanford.nlp.ie.test.OntologyTester
 
main(String[]) - Static method in class edu.stanford.nlp.ie.test.ExtractorTest
Runs a simple demonstration of the extraction system.
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.XPNPC
tests the XPNPC functionality.
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.XPNPC2
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.Util
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.Tester
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.TBMan
test class functionality.
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.Parser
runs the parser server.
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.Interpolator
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.XLabel
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.IEParser
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pcfg.IEMan
Analyzes training data and produces formatted grammars and lexicons.
main(String[]) - Static method in class edu.stanford.nlp.io.FileSequentialCollection
This is simply a debugging aid that tests the functionality of the class.
main(String[]) - Static method in class edu.stanford.nlp.io.FileArrayList
This is simply a debugging aid that tests the functionality of the class.
main(String[]) - Static method in class edu.stanford.nlp.lexgram.ExtractPTBRules
This standalone program will build a lexicon and a grammar from a collection of Penn Treebank sentences.
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
Parameters : -train trainFileArff ( training will be done now ) -gain double ( the gain cutoff ) -support int ( the minimum number of times a feature must appear to be included ) -test trainFile testFile -iters numIterations ( iterative scaling iterations ) -binary ( indicates that for attributes that are binary we are adding features only for the value 1 of them ) -validation ( use cross-validation to select features ) -clean ( in testing, print only one classification per line ) -ftNum [numFeatures] ( the maximum number of features ) -no_sel ( do not do feature selection ) -usetop [numTop] ( use only top numTop classifiers ) -fixedtop ( do not select number of classifiers to include, use specified ) -crossval ( use cross validation to choose optinmal number of clasisifers to combine )
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
Parameters : -train trainFileArff ( training will be done now ) -gain double ( the gain cutoff ) -support int ( the minimum number of times a feature must appear to be included ) -test trainFile testFile -iters numIterations ( iterative scaling iterations ) -binary ( indicates that for attributes that are binary we are adding features only for the value 1 of them ) -validation ( use cross-validation to select features ) -clean ( in testing, print only one classification per line ) -ftNum [numFeatures] ( the maximum number of features ) -no_sel ( do not do feature selection ) -usetop [numTop] ( use only top numTop classifiers ) -fixedtop ( do not select number of classifiers to include, use specified ) -crossval ( use cross validation to choose optinmal number of clasisifers to combine )
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
Parameters : -train trainFileArff ( training will be done now ) -gain double ( the gain cutoff ) -support int ( the minimum number of times a feature must appear to be included ) -test trainFile testFile -iters numIterations ( iterative scaling iterations ) -binary ( indicates that for attributes that are binary we are adding features only for the value 1 of them ) -validation ( use cross-validation to select features ) -clean ( in testing, print only one classification per line ) -ftNum [numFeatures] ( the maximum number of features ) -no_sel ( do not do feature selection ) -usetop [numTop] ( use only top numTop classifiers ) -fixedtop ( do not select number of classifiers to include, use specified ) -crossval ( use cross validation to choose optinmal number of clasisifers to combine )
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolveBinary
 
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
With arguments, this will print out the lambda paramters of a bunch of .lam files (which are assumed to all be the same size).
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.Problem
 
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.BinaryProblem
 
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.Experiments
 
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.AnalyseNominal
 
main(String[]) - Static method in class edu.stanford.nlp.mt.Now
 
main(String[]) - Static method in class edu.stanford.nlp.mt.TTable
 
main(String[]) - Static method in class edu.stanford.nlp.mt.GlobalParams
 
main(String[]) - Static method in class edu.stanford.nlp.mt.ATableHMMFull
Some code to test the class;
main(String[]) - Static method in class edu.stanford.nlp.mt.ATableHMM2EQ
Some code to test the class
main(String[]) - Static method in class edu.stanford.nlp.mt.ATableHMM2
Some code to test the class
main(String[]) - Static method in class edu.stanford.nlp.mt.SentenceHandler
 
main(String[]) - Static method in class edu.stanford.nlp.mt.ATableHMM
Some code to test the class
main(String[]) - Static method in class edu.stanford.nlp.optimization.MinimizationExample
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
A simple test main program.
main(String[]) - Static method in class edu.stanford.nlp.parser.Tdiff
 
main(String[]) - Static method in class edu.stanford.nlp.parser.AppliableParser
 
main(String[]) - Static method in class edu.stanford.nlp.parser.oldparser.SimpleChartParser
Run the chart parser.
main(String[]) - Static method in class edu.stanford.nlp.parser.oldparser.PCFGTest
 
main(String[]) - Static method in class edu.stanford.nlp.parser.oldparser.ParseIOFormat
 
main(String[]) - Static method in class edu.stanford.nlp.parser.oldparser.PCFGParse
Runs the PCFG parser.
main(String[]) - Static method in class edu.stanford.nlp.process.Stemmer
Test program for demonstrating the Stemmer.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Train
Specify where to read data from, and whether to use iis or cg
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TopMistagged
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
Tags a test sentence.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Test
Main has two arguments.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestForwardsBackWards
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TagInference
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.StringTagger
Command-line driven tagger that takes input from stdin
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.StaticStringTagger
Command-line tagger that takes input from stdin or a file.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Morpho
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MainFrame
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.ErrorTags
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.ConfusionMatrixUnKnown
This is the method usually called to output a confusion matrix for the unknown words.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.ConfusionMatrix
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.ConfMatUnconsidered
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.TreebankTaggerTester
Tag text and test results from the Penn Treebank.
main(String[]) - Static method in class edu.stanford.nlp.tagger.CountTagSequences
Describe main method here.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreeJugglers
 
main(String[]) - Static method in class edu.stanford.nlp.trees.SepHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.PairFinder
 
main(String[]) - Static method in class edu.stanford.nlp.trees.ModCollinsHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.MemoryTreebank
Loads treebank grammar from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreeReader
Loads treebank data from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.DiskTreebank
Loads treebank grammar from first argument and print it.
main(String[]) - Static method in class edu.stanford.nlp.trees.MemorySentencebank
Loads sentencebank grammar from first argument and print it.
main(String[]) - Static method in class edu.stanford.nlp.trees.DiskSentencebank
Loads SentenceBank from first argument and prints it out.
main(String[]) - Static method in class edu.stanford.nlp.trees.CollinsSemanticHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.CollinsHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.ChelbaHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.SentenceReader
Loads sentences from first argument and prints them.
main(String[]) - Static method in class edu.stanford.nlp.util.XYPlotFrame
 
main(String[]) - Static method in class edu.stanford.nlp.web.WebSearch
 
main(String[]) - Static method in class edu.stanford.nlp.wsd.SensevalOutput
 
main(String[]) - Static method in class edu.stanford.nlp.wsd.SensevalFormatConverter
 
main(String[]) - Static method in class edu.stanford.nlp.redwoods.ProductionsTable
 
MainFrame - class edu.stanford.nlp.tagger.maxent.MainFrame.
 
MainFrame() - Constructor for class edu.stanford.nlp.tagger.maxent.MainFrame
 
make(Matrix) - Method in class edu.stanford.nlp.linalg.EDoubleFactory2D
creates a DoubleMatrix2D from a generic Matrix
makeFeatures() - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
makeFeatures(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
makeFeatures(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
makeFeaturesAssociations() - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
makeFeaturesAssociations() - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
makeString() - Method in interface edu.stanford.nlp.classify.TokenReader
 
makeString() - Method in class edu.stanford.nlp.classify.POSTokenReader
Returns a string that consists of the relevant data.
mass - Variable in class edu.stanford.nlp.stats.Factor
 
mass(Observation) - Method in interface edu.stanford.nlp.stats.Measure
 
MassVerifier - class edu.stanford.nlp.classify.MassVerifier.
Tracks the statistics for a set of test documents.
MassVerifier() - Constructor for class edu.stanford.nlp.classify.MassVerifier
Constructor
matrix - Variable in class edu.stanford.nlp.dbm.LabelMatrix
 
matrix - Variable in class edu.stanford.nlp.dbm.DataMatrix
 
Matrix - interface edu.stanford.nlp.linalg.Matrix.
Interface for Matrices, dense or sparse.
MatrixAlgebra - class edu.stanford.nlp.linalg.MatrixAlgebra.
This class implements matrix operations as needed
MatrixAlgebra() - Constructor for class edu.stanford.nlp.linalg.MatrixAlgebra
 
MatrixDecompositionClusters - class edu.stanford.nlp.cluster.MatrixDecompositionClusters.
SimpleClusters implementation that represents P(z), P(w|z), P(d|z) as matrices.
MatrixDecompositionClusters(Matrix, Matrix, Matrix) - Constructor for class edu.stanford.nlp.cluster.MatrixDecompositionClusters
 
MatrixWrapper - interface edu.stanford.nlp.dbm.MatrixWrapper.
Interface for a class of objects which construct and store a Matrix.
Max - class edu.stanford.nlp.math.Max.
Implements maximum function
MAX_ITER - Static variable in class edu.stanford.nlp.ie.hmm.HMM
 
MAX_SHR_ITER - Static variable in class edu.stanford.nlp.ie.hmm.HMM
 
MAX_WRONG - Static variable in class edu.stanford.nlp.ie.hmm.HMM
maximum number of wrong guesses that can be made and still get it counted as correct.
Max() - Constructor for class edu.stanford.nlp.math.Max
 
max(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two double values.
max(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two float values.
Max(int, int) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Max
MaxentTagger - class edu.stanford.nlp.tagger.maxent.MaxentTagger.
This is the maximum entropy tagger class has methods for training, saving, tagging sentences etc.
MaxentTagger() - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
maxPriorBoost - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
maxTagCombinationSize - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
the maximum number of tags that can be identified per sentence
maxY - Variable in class edu.stanford.nlp.maxent.iis.Experiments
 
mean - Variable in class edu.stanford.nlp.cluster.SimpleCluster
weighted mean of datum in cluster
mean(DoubleMatrix2D) - Method in class edu.stanford.nlp.linalg.EAlgebra
evaluates mean of columns in A
Measure - interface edu.stanford.nlp.stats.Measure.
read-only interface for discrete probability distributions
MeasureDescriptor - interface edu.stanford.nlp.stats.MeasureDescriptor.
interface for discrete statistics modules
measureOver(MeasureDescriptor) - Method in interface edu.stanford.nlp.stats.Statistics
 
measureOver(MeasureDescriptor) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
Medline - class edu.stanford.nlp.dbm.Medline.
Contains methods dealing with populating a DBM given a file containing all Medline documents
Medline(List, String) - Constructor for class edu.stanford.nlp.dbm.Medline
 
Medline(String) - Constructor for class edu.stanford.nlp.dbm.Medline
Creates a Medline document collection given a filename which contains a collection of Medline articles in XML representation.
MedlineDocument - class edu.stanford.nlp.dbm.MedlineDocument.
A Medline Document in Medline XML Format.
MedlineDocument() - Constructor for class edu.stanford.nlp.dbm.MedlineDocument
 
MedlineHandler - class edu.stanford.nlp.classify.MedlineHandler.
 
MedlineHandler() - Constructor for class edu.stanford.nlp.classify.MedlineHandler
 
MemorySentencebank - class edu.stanford.nlp.trees.MemorySentencebank.
A MemorySentencebank object stores a corpus of examples with given sentence structures in memory (as a Collection)
MemorySentencebank() - Constructor for class edu.stanford.nlp.trees.MemorySentencebank
Create a new sentence bank.
MemorySentencebank(int) - Constructor for class edu.stanford.nlp.trees.MemorySentencebank
Create a new Sentencebank.
MemorySentencebank(int, SentenceReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemorySentencebank
Create a new sentence bank.
MemorySentencebank(SentenceReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemorySentencebank
Create a new sentence bank.
MemoryTreebank - class edu.stanford.nlp.trees.MemoryTreebank.
A MemoryTreebank object stores a corpus of examples with given tree structures in memory (as a Collection).
MemoryTreebank() - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
MemoryTreebank(int) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new Treebank.
MemoryTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
MemoryTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
merge(Instance, Instance, Confidence, Confidence, Confidence) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Merges two Instances as described by getMergedRank.
merge(Instance, Instance, Confidence, Confidence, Confidence) - Method in class edu.stanford.nlp.ie.merge.AbstractInstanceMerger
Merges the two Instances.
merge(int, int) - Method in class edu.stanford.nlp.cluster.VectorClusters
Merges clusters i and j by taking the weighted average of probability distributions over data and features (and adding the cluster probabilities) and stores the merged cluster into the slot with the lower index
merge(int, int) - Method in interface edu.stanford.nlp.cluster.Clusters
Merges clusters i and j and assigns the merged cluster the lower index.
merge(int, int, Double4Function, Clusters) - Method in class edu.stanford.nlp.cluster.SimilarityMatrix
Merges columns i,j in the similarity matrix by setting the value at each entry k in the column to be csf.apply(i(k),j(k)).
merge(int, int, DoubleDoubleFunction) - Method in class edu.stanford.nlp.cluster.SimilarityMatrix
Merges columns i,j in the similarity matrix by setting the value at each entry k in the column to be csf.apply(i(k),j(k)).
Merge(XTagSet, XTagSet) - Static method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
mergeInstances(int, Vector, Vector) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Given the index of the starting instance, compare all subsequent instances looking for the best merge; if one is not found, return false indicating a merge was not found.
mergeStructures(Structure[]) - Static method in class edu.stanford.nlp.ie.hmm.Structure
 
MergeTrainer - class edu.stanford.nlp.ie.hmm.MergeTrainer.
Main class for building a single HMM by combining multiple target HMMs and a context HMM.
method - Variable in class edu.stanford.nlp.cluster.AbstractClusteringMethod
label for method.
Metric - interface edu.stanford.nlp.linalg.Metric.
Interface for a set of classes which have a metric function distance(Array i, Array j), which returns a double giving the distance between the two vectors
mikeKnown - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
Min - class edu.stanford.nlp.math.Min.
Implements minimum function
min() - Method in interface edu.stanford.nlp.util.Heap
Returns the minimum Object in this heap.
min() - Method in class edu.stanford.nlp.util.ArrayHeap
Finds the object with the minimum key and returns it, without modifying the heap.
Min() - Constructor for class edu.stanford.nlp.math.Min
 
min(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the smaller of two double values.
min(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the smaller of two float values.
Min(int, int) - Static method in class edu.stanford.nlp.ie.pcfg.Util
Min
MinimizationExample - class edu.stanford.nlp.optimization.MinimizationExample.
Example of using the minimization classes.
MinimizationExample() - Constructor for class edu.stanford.nlp.optimization.MinimizationExample
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.PenaltyConstrainedMinimizer
 
minimize(Function, double, double[]) - Method in interface edu.stanford.nlp.optimization.Minimizer
Attempts to find an unconstrained minimum of the objective function starting at initial, within functionTolerance.
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.CGMinimizer
 
minimize(Function, double, Function[], double, Function[], double, double[]) - Method in class edu.stanford.nlp.optimization.PenaltyConstrainedMinimizer
 
minimize(Function, double, Function[], double, Function[], double, double[]) - Method in interface edu.stanford.nlp.optimization.ConstrainedMinimizer
The general case, allowing both equality and inequality constraints.
Minimizer - interface edu.stanford.nlp.optimization.Minimizer.
The interface for unconstrained function minimizers.
MixRules(HashMap, List, double) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Calculates the union of two sets of rules (and interpolates probabilities linearly).
MixRules(HashMap, List, double, double) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Calculates the union of two sets of rules (and interpolates probabilities linearly).
MixRules(List, List, double) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Calculates the union of two sets of rules (and interpolates probabilities linearly).
MixRules(List, List, double, double) - Static method in class edu.stanford.nlp.ie.pcfg.GLUtil
Calculates the union of two sets of rules (and interpolates probabilities linearly).
ModCollinsHeadFinder - class edu.stanford.nlp.trees.ModCollinsHeadFinder.
Implements a variant on the HeadFinder found in Michael Collins' 1999 thesis.
ModCollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
 
Model1 - class edu.stanford.nlp.mt.Model1.
 
Model1() - Constructor for class edu.stanford.nlp.mt.Model1
 
Model1(SentenceHandler, int) - Constructor for class edu.stanford.nlp.mt.Model1
 
Model1(SentenceHandler, TTable, int) - Constructor for class edu.stanford.nlp.mt.Model1
 
MONEY_NUM - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
Morpho - class edu.stanford.nlp.tagger.maxent.Morpho.
 
Morpho(String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.Morpho
 
move_review(String, boolean, PrintWriter) - Method in class edu.stanford.nlp.classify.Tester
This method sets up a file that can be run later to sort the reviews into ones that were classified correctly and ones that were classified incorrectly.
multiply(Array) - Method in class edu.stanford.nlp.linalg.AbstractArray
returns componentwise multiply
multiply(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns componentwise multiply
multiply(double) - Method in class edu.stanford.nlp.linalg.AbstractArray
scalar multiply
multiply(double) - Method in interface edu.stanford.nlp.linalg.Array
Scalar multiply
multiply(ScientificNotationDouble) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
returns product of this with multiplicand
MultiStructure - class edu.stanford.nlp.ie.hmm.MultiStructure.
Class to model an HMM context structure.
MultiStructure(String[]) - Constructor for class edu.stanford.nlp.ie.hmm.MultiStructure
 
MutableInteger - class edu.stanford.nlp.util.MutableInteger.
 
MutableInteger() - Constructor for class edu.stanford.nlp.util.MutableInteger
 
MutableInteger(int) - Constructor for class edu.stanford.nlp.util.MutableInteger
 

N

n - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
naClass - Static variable in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
NaiveBayesClassifier - class edu.stanford.nlp.classify.NaiveBayesClassifier.
Naive Bayes Classifier.
NaiveBayesClassifier() - Constructor for class edu.stanford.nlp.classify.NaiveBayesClassifier
 
name - Variable in class edu.stanford.nlp.dbm.AbstractDataCollection
 
name() - Method in class edu.stanford.nlp.dbm.AbstractDataCollection
Returns the name of this DataCollection
name() - Method in interface edu.stanford.nlp.dbm.DataCollection
returns a String that gives the name of the data collection stored in this DBM
nativeToAscii(String) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
NBClassifier - class edu.stanford.nlp.classify.NBClassifier.
The classifier takes a set of (smoothed) probability vectors and a test vector, and classifies the test vector according to the probability vectors
NBClassifier(ProbabilitySet, FeatureSet) - Constructor for class edu.stanford.nlp.classify.NBClassifier
Constructor: mytrain is the set of training vectors, mytest is a single Feature vector for testing.
nc - Variable in class edu.stanford.nlp.cluster.AbstractClusteringMethod
number of clusters
nc - Variable in class edu.stanford.nlp.linalg.AbstractMatrix
 
nd - Variable in class edu.stanford.nlp.cluster.SimpleCluster
number of data
nd - Variable in class edu.stanford.nlp.cluster.AbstractClusteringMethod
number of documents
nearestNeighbors(Array, int) - Method in class edu.stanford.nlp.classify.KNN
returns the indices of the k nearest neighbors (in the training set) to a given test Array.
NegativeFilter - class edu.stanford.nlp.classify.NegativeFilter.
This filter does some very primitive negative scoping, using the same method as the Almaden code.
NegativeFilter() - Constructor for class edu.stanford.nlp.classify.NegativeFilter
Constructor
new_a(int, int) - Method in class edu.stanford.nlp.cluster.LSSA
 
new_b(int, int) - Method in class edu.stanford.nlp.cluster.LSSA
 
new_pi(int) - Method in class edu.stanford.nlp.cluster.LSSA
 
new_pr_d_z() - Method in class edu.stanford.nlp.cluster.LSSA
 
new_pr_z() - Method in class edu.stanford.nlp.cluster.LSSA
sets pr_z for all clusters using the transition probability matrix
newConstituent(int, int) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
 
newConstituent(int, int) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
 
newConstituent(int, int) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
 
newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
 
newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
 
newConstituent(int, int, Label, double) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
 
newInstance(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
newInstance(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
newInstance(int) - Method in class edu.stanford.nlp.linalg.DenseSNDArray
 
newInstance(int) - Method in class edu.stanford.nlp.linalg.DenseIntArray
 
newInstance(int) - Method in class edu.stanford.nlp.linalg.DenseDoubleArray
 
newInstance(int) - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
newInstance(int) - Method in interface edu.stanford.nlp.linalg.Array
Returns an empty Array of the same dynamic type with given size
newLabel(Label) - Method in class edu.stanford.nlp.trees.WordFactory
Create a new Word Label, where the label is formed from the Label object passed in.
newLabel(Label) - Method in class edu.stanford.nlp.trees.TaggedWordFactory
Create a new TaggedWord Label, where the label is formed from the Label object passed in.
newLabel(Label) - Method in class edu.stanford.nlp.trees.StringLabelFactory
Create a new StringLabel, where the label is formed from the Label object passed in.
newLabel(Label) - Method in class edu.stanford.nlp.trees.CategoryWordTagFactory
Create a new CategoryWordTag Label, where the label is formed from the Label object passed in.
newLabel(Label) - Method in class edu.stanford.nlp.trees.AdaptiveLabelFactory
Create a new Label, where the label is formed from the Label object passed in.
newLabel(Label) - Method in interface edu.stanford.nlp.trees.LabelFactory
Create a new Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.trees.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabel(String) - Method in class edu.stanford.nlp.trees.TaggedWordFactory
Make a new label with this String as the value (word).
newLabel(String) - Method in class edu.stanford.nlp.trees.StringLabelFactory
Make a new label with this String as the "name".
newLabel(String) - Method in class edu.stanford.nlp.trees.CategoryWordTagFactory
Make a new label with this String as the "name".
newLabel(String) - Method in class edu.stanford.nlp.trees.AdaptiveLabelFactory
The AdaptiveLabelFactory does not support this operation, because it does not know what sort of label to make.
newLabel(String) - Method in interface edu.stanford.nlp.trees.LabelFactory
Make a new label with this String as the value.
newLabel(String, int) - Method in class edu.stanford.nlp.trees.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabel(String, int) - Method in class edu.stanford.nlp.trees.TaggedWordFactory
Make a new label with this String as a value component.
newLabel(String, int) - Method in class edu.stanford.nlp.trees.StringLabelFactory
Make a new label with this String as the "name".
newLabel(String, int) - Method in class edu.stanford.nlp.trees.CategoryWordTagFactory
Make a new label with this String as the value.
newLabel(String, int) - Method in class edu.stanford.nlp.trees.AdaptiveLabelFactory
Create a new Label, where the Label is formed from the passed in String, using it to name the component given by options.
newLabel(String, int) - Method in interface edu.stanford.nlp.trees.LabelFactory
Make a new label with this String as the value, and the type determined in an implementation-dependent way from the options value.
newLabel(String, String, String) - Method in class edu.stanford.nlp.trees.CategoryWordTagFactory
Create a new CategoryWordTag label, where the label is formed from the various String objects passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.trees.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.trees.TaggedWordFactory
Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.trees.StringLabelFactory
Make a new label with this String as the "name".
newLabelFromString(String) - Method in class edu.stanford.nlp.trees.CategoryWordTagFactory
Make a new label with this String as the "name".
newLabelFromString(String) - Method in class edu.stanford.nlp.trees.AdaptiveLabelFactory
The AdaptiveLabelFactory does not support this operation, because it does not know what sort of label to make.
newLabelFromString(String) - Method in interface edu.stanford.nlp.trees.LabelFactory
Make a new label.
newLeaf(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Create a new leaf node with the given label
newLeaf(Label) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newLeaf(Label) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree leaf node, with the given label.
newLeaf(String) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
 
newLeaf(String) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newLeaf(String) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree leaf node, where the label is formed from the String passed in.
newSentenceReader(Reader) - Method in class edu.stanford.nlp.trees.SimpleSentenceReaderFactory
The implementation of the SentenceReaderFactory interface.
newSentenceReader(Reader) - Method in class edu.stanford.nlp.trees.PennSentenceReaderFactory
The implementation of the SentenceReaderFactory interface.
newSentenceReader(Reader) - Method in interface edu.stanford.nlp.trees.SentenceReaderFactory
 
newSentenceReader(Reader) - Method in class edu.stanford.nlp.trees.AdwaitSentenceReaderFactory
The implementation of the SentenceReaderFactory interface.
newToken(int) - Static method in class edu.stanford.nlp.annotation.Token
Returns a new Token object, by default.
newToken(int) - Static method in class edu.stanford.nlp.ie.desc.Token
Returns a new Token object, by default.
newtonerr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
newTreeNode(Label, List) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Create a new non-leaf tree node with the given label
newTreeNode(Label, List) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newTreeNode(Label, List) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree nonleaf node, with the given label.
newTreeNode(String, List) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
 
newTreeNode(String, List) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newTreeNode(String, List) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree nonleaf node, where the label is formed from the String passed in.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.WordLabeledScoredTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.SimpleTreeReaderFactory
The implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.ParentTransformedLabeledNormalizedTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in interface edu.stanford.nlp.trees.TreeReaderFactory
Create a new TreeReader using the provided Reader.
next - Variable in class edu.stanford.nlp.annotation.Token
A reference to the next regular (non-special) token from the input stream.
next - Variable in class edu.stanford.nlp.classify.Node
 
next - Variable in class edu.stanford.nlp.ie.desc.Token
A reference to the next regular (non-special) token from the input stream.
next() - Method in class edu.stanford.nlp.classify.LinkedList
 
next() - Method in class edu.stanford.nlp.classify.FeatureSet
This method returns the next element in the set
next() - Method in class edu.stanford.nlp.util.ScoredPriorityAgenda
 
next() - Method in class edu.stanford.nlp.util.StackAgenda
 
next() - Method in interface edu.stanford.nlp.util.Agenda
 
next2WordClass - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextNextWordClass - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextNNC - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextToken() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Generates the next token from the input stream of this tokenizer.
nextTwoTags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextWordClass - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nnz - Variable in class edu.stanford.nlp.linalg.AbstractMatrix
 
Node - class edu.stanford.nlp.classify.Node.
For the LinkedList?
Node() - Constructor for class edu.stanford.nlp.classify.Node
 
nominal(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
nominal(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
nominal(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
NONZERO - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
NoPunctTreeNormalizer - class edu.stanford.nlp.trees.NoPunctTreeNormalizer.
Normalizes trees roughly the way used in Manning and Carpenter 1997.
NoPunctTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.NoPunctTreeNormalizer
 
norm() - Method in class edu.stanford.nlp.linalg.AbstractArray
returns 2 norm of vector
norm() - Method in interface edu.stanford.nlp.linalg.Array
Returns L2 norm of vector
norm(Array) - Method in class edu.stanford.nlp.linalg.L2
 
norm(Array) - Method in class edu.stanford.nlp.linalg.L1
 
norm(Array) - Method in class edu.stanford.nlp.linalg.AbstractMetric
returns the norm of a vector in this metric
norm(Array) - Method in interface edu.stanford.nlp.linalg.Metric
returns the norm of a vector in this metric
normalize() - Method in class edu.stanford.nlp.linalg.AbstractArray
 
normalize() - Method in interface edu.stanford.nlp.linalg.Array
Returns vector with euclidian distance normalized to 1.
normalize() - Method in class edu.stanford.nlp.mt.PTable
 
normalize() - Method in class edu.stanford.nlp.mt.ATableHMMFull
This does the normalization of the component distributions
normalize() - Method in class edu.stanford.nlp.mt.StayGoTables
 
normalize() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
This does the normalization of the component distributions
normalize() - Method in class edu.stanford.nlp.mt.ATableHMM2
This does the normalization of the component distributions
normalize() - Method in class edu.stanford.nlp.mt.StayGoTable
 
normalize() - Method in class edu.stanford.nlp.mt.ATable
 
normalize() - Method in class edu.stanford.nlp.mt.ATableHMM
This does the normalization of the component distributions
normalize() - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
normalize() - Method in class edu.stanford.nlp.redwoods.RuleTable
 
normalize(Array) - Method in class edu.stanford.nlp.linalg.AbstractMetric
normalizes vector i to have length 1 in the norm defined in this class
normalize(Array) - Method in interface edu.stanford.nlp.linalg.Metric
normalizes vector i to have length 1 in the norm defined in this class
normalize(double[]) - Static method in class edu.stanford.nlp.ie.hmm.Structure
 
normalize(double[]) - Static method in class edu.stanford.nlp.ie.hmm.Corpus
 
normalizeColumns(Metric) - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
normalizeColumns(Metric) - Method in interface edu.stanford.nlp.linalg.Matrix
returns Matrix whose columns are normalized to 1 does not change receiver
normalizeForConstraints(DiffFunction[], double[], DiffFunction) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
making a PCFG model
normalizeInitialProbs() - Method in class edu.stanford.nlp.mt.ATableHMMFull
Calculate normalized initial parameters No reason really why it should be separate from normalizeProbArr except for the empty parameters
normalizeInitialProbs() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Calculate normalized initial parameters from the counts in initialCounts This assumes we already have pEmpty calculated from params First, normalizes initialCounts so that p(1)+ ..p(MAX_LENGTH)+p0 is 1
normalizeInitialProbs() - Method in class edu.stanford.nlp.mt.ATableHMM2
Calculate normalized initial parameters from the counts in initialCounts This assumes we already have pEmpty calculated from params First, normalizes initialCounts so that p(1)+ ..p(MAX_LENGTH)+p0 is 1
normalizeInitialProbs() - Method in class edu.stanford.nlp.mt.ATableHMM
Calculate normalized initial parameters from the counts in initialCounts This assumes we already have pEmpty calculated from params First, normalizes initialCounts so that p(1)+ ..p(MAX_LENGTH)+p0 is 1
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.SepTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.PruneNodesStripSubtagsTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.ParametricTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.NoPunctTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.DanBobChrisTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
Normalizes a nonterminal contents (and maybe intern it).
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Normalizes a nonterminal contents.
normalizeProbArr() - Method in class edu.stanford.nlp.mt.ATableHMMFull
Normalize the transition table prob_arr and put the appropriate probabilities there
normalizeProbArr() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Normalize the transition table prob_arr and put the appropriate probabilities there
normalizeProbArr() - Method in class edu.stanford.nlp.mt.ATableHMM2
Normalize the transition table prob_arr and put the appropriate probabilities there
normalizeProbArr() - Method in class edu.stanford.nlp.mt.ATableHMM
Normalize the transition table prob_arr and put the appropriate probabilities there
normalizeSentence(Sentence, LabelFactory) - Method in class edu.stanford.nlp.trees.PennSentenceNormalizer
Normalize a sentence -- this method assumes that the argument that it is passed is the whole (linguistic) Sentence.
normalizeSentence(Sentence, LabelFactory) - Method in class edu.stanford.nlp.trees.SentenceNormalizer
Normalize a sentence -- this method assumes that the argument that it is passed is the whole (linguistic) Sentence.
normalizeString(String) - Method in class edu.stanford.nlp.trees.PennSentenceNormalizer
 
normalizeString(String) - Method in class edu.stanford.nlp.trees.PennSentenceMrgNormalizer
Normalizes a read string word (and maybe intern it).
normalizeString(String) - Method in class edu.stanford.nlp.trees.SentenceNormalizer
Normalizes a read string word (and maybe intern it).
normalizeTable(int) - Method in class edu.stanford.nlp.mt.TTable
 
normalizeTable(int) - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.SepTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.PruneNodesStripSubtagsTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.ParametricTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.NoPunctTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.DanBobChrisTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
Normalizes a leaf contents (and maybe intern it).
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Normalizes a leaf contents.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.SepTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.PruneNodesStripSubtagsTreeNormalizer
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.ParametricTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.NoPunctTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.DanBobChrisTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.TreeNormalizer
Normalize a whole tree -- this method assumes that the argument that it is passed is the root of a complete Tree.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
NOUN - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
Now - class edu.stanford.nlp.mt.Now.
 
Now() - Constructor for class edu.stanford.nlp.mt.Now
 
NP - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
NP1 - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
nr - Variable in class edu.stanford.nlp.linalg.AbstractMatrix
 
nt - Variable in class edu.stanford.nlp.cluster.SimpleCluster
number of features
nt - Variable in class edu.stanford.nlp.cluster.AbstractClusteringMethod
number of terms
NullEdgeOutsideEstimator - class edu.stanford.nlp.parser.oldparser.NullEdgeOutsideEstimator.
Null Edge Outside Estimator Gives the trivial estimate (zero) for all edges.
NullEdgeOutsideEstimator() - Constructor for class edu.stanford.nlp.parser.oldparser.NullEdgeOutsideEstimator
 
NullLabel - class edu.stanford.nlp.trees.NullLabel.
A NullLabel object acts as a Label with linguistic attributes, but doesn't actually store or return anything.
NullLabel() - Constructor for class edu.stanford.nlp.trees.NullLabel
 
NUM_LIST - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
NUM_MARKUP_FORMS - Static variable in class edu.stanford.nlp.ie.hmm.Corpus
 
numAfterthoughts - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
not used currently
number - Static variable in class edu.stanford.nlp.maxent.iis.Experiments
number is the number of Experiments
NUMBER - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
number(Object) - Method in class edu.stanford.nlp.util.Numberer
 
number(String, Object) - Static method in class edu.stanford.nlp.util.Numberer
 
Number(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Replaces tree node labels with numbers.
Numberer - class edu.stanford.nlp.util.Numberer.
 
Numberer() - Constructor for class edu.stanford.nlp.util.Numberer
 
NumberFilter - class edu.stanford.nlp.process.NumberFilter.
Filter which converts numbers to the word "*NUMBER*"
NumberFilter() - Constructor for class edu.stanford.nlp.process.NumberFilter
 
NumberRangeFileFilter - class edu.stanford.nlp.io.NumberRangeFileFilter.
Implements a file filter that examines a number in a filename to determine acceptance.
NumberRangeFileFilter(int, int, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangeFileFilter
Sets up a NumberRangeFileFilter by specifying the range of numbers to accept, and whether to also traverse folders for recursive search.
NumCaps(String) - Static method in class edu.stanford.nlp.ie.pcfg.XPNPC3
 
numCategories - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
numCharWordSteps - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
numCorrect - Variable in class edu.stanford.nlp.ie.pcfg.Score
 
numdocs - Variable in class edu.stanford.nlp.dbm.FileDataCollection
 
numeric(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
numeric(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
numeric(int) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
numExamples - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
numFolds - Static variable in class edu.stanford.nlp.ie.pnp.TestScriptGenerator
Number of train/test folds to run: 10.
numGuess - Variable in class edu.stanford.nlp.ie.pcfg.Score
 
numParameters() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
numParameters() - Method in class edu.stanford.nlp.ie.hmm.HMM
 
numParses - Static variable in class edu.stanford.nlp.ie.pcfg.Tester
 
numPrefixes() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
numRight - Variable in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
numRight - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
nums - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
numSamples() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
numSamples() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
numSamples() - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
numSuffixes() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
numTargets() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
numTargetStates() - Method in class edu.stanford.nlp.ie.hmm.HMM
Helper method for merging calculation.
numWrong - Variable in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
numWrong - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 

O

object() - Method in class edu.stanford.nlp.util.ScoredObject
 
object(int) - Method in class edu.stanford.nlp.util.Numberer
 
object(String, int) - Static method in class edu.stanford.nlp.util.Numberer
 
Observation - interface edu.stanford.nlp.stats.Observation.
interface for discrete observations over String values
observations - Variable in class edu.stanford.nlp.stats.Factor
 
observations() - Method in class edu.stanford.nlp.stats.AbstractDistribution
 
observations() - Method in class edu.stanford.nlp.stats.Factor
 
observations() - Method in interface edu.stanford.nlp.stats.Measure
 
observations() - Method in interface edu.stanford.nlp.stats.Distribution
 
ObservationScorer - interface edu.stanford.nlp.stats.ObservationScorer.
scoring interface for discrete observations
observe(Observation) - Method in class edu.stanford.nlp.stats.Factor
 
observe(Observation) - Method in interface edu.stanford.nlp.stats.Statistics
 
observe(Observation) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
observe(Observation, double) - Method in class edu.stanford.nlp.stats.Factor
 
observe(Observation, double) - Method in interface edu.stanford.nlp.stats.Statistics
 
observe(Observation, double) - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
Ohsumed - class edu.stanford.nlp.dbm.Ohsumed.
Contains methods dealing with populating a DBM given a file containing all Ohsumed documents.
Ohsumed(List, String) - Constructor for class edu.stanford.nlp.dbm.Ohsumed
 
Ohsumed(String) - Constructor for class edu.stanford.nlp.dbm.Ohsumed
Creates a Ohsumed document collection given a filename which contains a collection of Ohsumed articles in XML representation.
Ohsumed(String, String, String) - Constructor for class edu.stanford.nlp.dbm.Ohsumed
Creates an Ohsumed Collection with only the documents with UIDs in UIDfile.
OhsumedDocument - class edu.stanford.nlp.dbm.OhsumedDocument.
Stores, processes, and allows access to a Document of the format specified in the Ohsumed document collection NOTE: THIS NEEDS TO BE CONVERTED TO WORK WITH BASICDOCUMENT THE WAY CRANDOCUMENT DOES
OhsumedDocument() - Constructor for class edu.stanford.nlp.dbm.OhsumedDocument
 
ONE - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
ONE - Static variable in class edu.stanford.nlp.util.Dbg
 
oneIteration() - Method in class edu.stanford.nlp.cluster.PLSI
Maximization Step
oneIteration() - Method in class edu.stanford.nlp.cluster.LSSA
 
oneIteration() - Method in class edu.stanford.nlp.cluster.Kmeans
Performs one iteration: a) Evaluates cluster means, b) Assigns each datum to its closest mean
oneIteration(int) - Method in class edu.stanford.nlp.cluster.PLSI
Re-estimates parameters using posterior probabilities given in the E-step.
oneIteration(int) - Method in class edu.stanford.nlp.cluster.LSSA
 
OnePerLineSentenceNormalizer - class edu.stanford.nlp.trees.OnePerLineSentenceNormalizer.
A class for sentence normalization.
OnePerLineSentenceNormalizer() - Constructor for class edu.stanford.nlp.trees.OnePerLineSentenceNormalizer
 
OntologyTester - class edu.stanford.nlp.ie.test.OntologyTester.
This class is just for debugging.
OntologyTester(String, String) - Constructor for class edu.stanford.nlp.ie.test.OntologyTester
 
OPEN - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
open() - Method in class edu.stanford.nlp.database.SLJDB
Opens the database for read and write
originalText - Variable in class edu.stanford.nlp.dbm.BasicDocument
original text of this document (may be null).
originalText() - Method in class edu.stanford.nlp.dbm.BasicDocument
Returns the text originally used to construct this document, or null if there was no original text.
OTHER - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
OutDataStreamFile - class edu.stanford.nlp.io.OutDataStreamFile.
 
OutDataStreamFile(File) - Constructor for class edu.stanford.nlp.io.OutDataStreamFile
 
OutDataStreamFile(String) - Constructor for class edu.stanford.nlp.io.OutDataStreamFile
 
output() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
OutputTags - class edu.stanford.nlp.tagger.maxent.OutputTags.
 
OutputTags() - Constructor for class edu.stanford.nlp.tagger.maxent.OutputTags
 
OutputTags(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.OutputTags
 

P

p - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
p - Variable in class edu.stanford.nlp.ie.pcfg.XRule
the XRule's probability
p - Variable in class edu.stanford.nlp.ie.pcfg.XTagSet
 
p - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
p(Entry, int, int) - Method in class edu.stanford.nlp.cluster.LSSA
 
P(String) - Static method in class edu.stanford.nlp.ie.pcfg.DEBUG
 
p(String, String) - Static method in class edu.stanford.nlp.ie.pcfg.DEBUG
 
P(String, String) - Static method in class edu.stanford.nlp.ie.pcfg.DEBUG
 
pad(Object, int) - Static method in class edu.stanford.nlp.util.KleinUtils
 
pad(String, int) - Static method in class edu.stanford.nlp.util.KleinUtils
Return a String of length a minimum of totalChars characters by padding the input String str with spaces.
pad(String, String, String, String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
pads a cs224n training or testing file indir/word-unpadded.train or indir/word-unpadded.test to ensure that each target word has at least 5 words on either side.
pad1(String, String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
pads a cs224n training or testing file /u/nlp/data/senseval2/2000_data/cs224n_format/unpadded/word-unpadded.train (or .test) and outputs it to /u/nlp/data/senseval2/2000_data/word.train.
pad2(String, String) - Method in class edu.stanford.nlp.wsd.SensevalFormatConverter
pads a cs224n training or testing file /u/nlp/data/senseval2/2001_data/cs224n_format/unpadded/word-unpadded.train (or .test) and outputs it to /u/nlp/data/senseval2/2001_data/word.train.
paintComponent(Graphics) - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Calls drawCell to paint this cell.
Pair - class edu.stanford.nlp.util.Pair.
Pair: A Class for holding a pair of objects.
Pair() - Constructor for class edu.stanford.nlp.util.Pair
 
Pair(Object, Object) - Constructor for class edu.stanford.nlp.util.Pair
 
PairFinder - class edu.stanford.nlp.trees.PairFinder.
A class with a main() method which finds all argument-head and modifier-head pairs in a treebank and prints them out.
PairFinder() - Constructor for class edu.stanford.nlp.trees.PairFinder
 
PairsHolder - class edu.stanford.nlp.tagger.maxent.PairsHolder.
 
PairsHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.PairsHolder
 
ParametricTreeNormalizer - class edu.stanford.nlp.trees.ParametricTreeNormalizer.
Normalizes trees based on parameter settings.
ParametricTreeNormalizer(boolean, boolean) - Constructor for class edu.stanford.nlp.trees.ParametricTreeNormalizer
 
parent() - Method in class edu.stanford.nlp.cluster.HHCluster
Returns parent of HHCluster
parent() - Method in class edu.stanford.nlp.trees.Tree
Return the parent of the tree node.
parent(Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the parent of the tree node.
ParentOfLeaf(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Returns true if the tree has only one child (a leaf), false otherwise.
parentTransformedBobChris() - Static method in class edu.stanford.nlp.trees.TreeNormalizers
 
ParentTransformedLabeledNormalizedTreeReaderFactory - class edu.stanford.nlp.trees.ParentTransformedLabeledNormalizedTreeReaderFactory.
This class implements a TreeReaderFactory that produces labeled, scored array-based Trees, which have been cleaned up to delete empties, etc.
ParentTransformedLabeledNormalizedTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.ParentTransformedLabeledNormalizedTreeReaderFactory
 
parse - Static variable in class edu.stanford.nlp.ie.pcfg.TBMan
The TBMan parses sentences as it reads them.
PARSE - Static variable in class edu.stanford.nlp.util.Dbg
 
parse(List) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Parse a sentence
Parse(List) - Method in class edu.stanford.nlp.ie.pcfg.TBMan
parses a sentence.
Parse(List) - Static method in class edu.stanford.nlp.ie.pcfg.Parser
Asks the parser server to parse a sentence.
Parse(List, int) - Static method in class edu.stanford.nlp.ie.pcfg.Parser
Asks the parser server to parse a sentence.
parse(Reader) - Method in class edu.stanford.nlp.web.HTMLParser
 
parse(Sentence) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
parse(Sentence) - Method in interface edu.stanford.nlp.parser.Parser
Parses the given sentence.
parse(Sentence, Label) - Method in class edu.stanford.nlp.parser.oldparser.ChartParser
The basic call for parsing a sentence once the chart structure has been created.
parse(String) - Method in class edu.stanford.nlp.dbm.OhsumedDocument
 
parse(String) - Method in class edu.stanford.nlp.dbm.MedlineDocument
Parses an xml document and sets class-level variables title, text, and MeSH.
parse(String) - Method in class edu.stanford.nlp.dbm.HTMLDocument
Parses the given HTML text so only true text is used to make the word list (ie all tags, etc are stripped).
parse(String) - Method in class edu.stanford.nlp.dbm.CranDocument
Parses the given text as a Cranfield document to extract the title and text.
parse(String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Tokenizes the given text to populate the list of Words this Document represents.
parse(String) - Method in class edu.stanford.nlp.ie.hmm.TypedTaggedDocument
 
parse(String) - Method in class edu.stanford.nlp.web.HTMLParser
 
parse(URL) - Method in class edu.stanford.nlp.web.HTMLParser
 
parsedText - Variable in class edu.stanford.nlp.dbm.HTMLDocument
 
ParseEval - class edu.stanford.nlp.parser.oldparser.ParseEval.
ParseEval: Class for evaluating parses
ParseEval() - Constructor for class edu.stanford.nlp.parser.oldparser.ParseEval
 
ParseException - exception edu.stanford.nlp.annotation.ParseException.
This exception is thrown when parse errors are encountered.
ParseException - exception edu.stanford.nlp.ie.desc.ParseException.
This exception is thrown when parse errors are encountered.
ParseException() - Constructor for class edu.stanford.nlp.annotation.ParseException
The following constructors are for use by you for whatever purpose you can think of.
ParseException() - Constructor for class edu.stanford.nlp.ie.desc.ParseException
The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for class edu.stanford.nlp.annotation.ParseException
 
ParseException(String) - Constructor for class edu.stanford.nlp.ie.desc.ParseException
 
ParseException(Token, int[][], String[]) - Constructor for class edu.stanford.nlp.annotation.ParseException
This constructor is used by the method "generateParseException" in the generated parser.
ParseException(Token, int[][], String[]) - Constructor for class edu.stanford.nlp.ie.desc.ParseException
This constructor is used by the method "generateParseException" in the generated parser.
ParseIOFormat - class edu.stanford.nlp.parser.oldparser.ParseIOFormat.
 
ParseIOFormat() - Constructor for class edu.stanford.nlp.parser.oldparser.ParseIOFormat
 
Parser - class edu.stanford.nlp.ie.pcfg.Parser.
A "parse server" that runs Dan Klein's v2 parser.
Parser - interface edu.stanford.nlp.parser.Parser.
The interface for parser objects.
Parser() - Constructor for class edu.stanford.nlp.ie.pcfg.Parser
 
partition(String) - Method in class edu.stanford.nlp.tagger.maxent.Morpho
 
PASSIVE - Static variable in class edu.stanford.nlp.parser.oldparser.Edge
 
passiveEdge - Variable in class edu.stanford.nlp.parser.oldparser.Traversal
 
pattern - Variable in class edu.stanford.nlp.lexgram.SimpleRule
 
pattern - Variable in class edu.stanford.nlp.lexgram.DFSARule
 
Pattern - class edu.stanford.nlp.ie.pcfg.Pattern.
Utility class for IEParser.
pattern() - Method in class edu.stanford.nlp.lexgram.SimpleRule
 
pattern() - Method in class edu.stanford.nlp.lexgram.DFSARule
 
pattern() - Method in interface edu.stanford.nlp.lexgram.Rule
 
Pattern() - Constructor for class edu.stanford.nlp.ie.pcfg.Pattern
 
PCFGParse - class edu.stanford.nlp.parser.oldparser.PCFGParse.
A class for running a PCFG chart parser over sentences.
PCFGTest - class edu.stanford.nlp.parser.oldparser.PCFGTest.
 
PCFGTest() - Constructor for class edu.stanford.nlp.parser.oldparser.PCFGTest
 
pcond(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
PDDP - class edu.stanford.nlp.cluster.PDDP.
Principal Direction Divisive Partitioning.
PDDP() - Constructor for class edu.stanford.nlp.cluster.PDDP
 
PenaltyConstrainedMinimizer - class edu.stanford.nlp.optimization.PenaltyConstrainedMinimizer.
A wrapper class which builds a constrained minimizer out of an unconstrained one by finding the unconstrained minimum of a sequence of penalized surfaces.
PenaltyConstrainedMinimizer(Minimizer) - Constructor for class edu.stanford.nlp.optimization.PenaltyConstrainedMinimizer
 
pennPrint() - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
pennPrint(PrintStream) - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
PennSentenceMrgNormalizer - class edu.stanford.nlp.trees.PennSentenceMrgNormalizer.
A class for sentence normalization.
PennSentenceMrgNormalizer() - Constructor for class edu.stanford.nlp.trees.PennSentenceMrgNormalizer
 
PennSentenceNormalizer - class edu.stanford.nlp.trees.PennSentenceNormalizer.
A class for Penn tag directory sentence normalization.
PennSentenceNormalizer() - Constructor for class edu.stanford.nlp.trees.PennSentenceNormalizer
Constructs a PennSentenceNormalizer object.
PennSentenceNormalizer(boolean, char) - Constructor for class edu.stanford.nlp.trees.PennSentenceNormalizer
Constructs a PennSentenceNormalizer object.
PennSentenceNormalizer(boolean, char, boolean, char) - Constructor for class edu.stanford.nlp.trees.PennSentenceNormalizer
Constructs a PennSentenceNormalizer object.
PennSentenceReaderFactory - class edu.stanford.nlp.trees.PennSentenceReaderFactory.
This class implements a SentenceReaderFactory which is suitable for reading in tagged sentences from the Penn Treebank.
PennSentenceReaderFactory() - Constructor for class edu.stanford.nlp.trees.PennSentenceReaderFactory
 
PennTagbankStreamTokenizer - class edu.stanford.nlp.trees.PennTagbankStreamTokenizer.
Builds a tokenizer for Penn pos tagged directories.
PennTagbankStreamTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.PennTagbankStreamTokenizer
Create a tokenizer for PennTreebank trees.
PennTreebankStreamTokenizer - class edu.stanford.nlp.trees.PennTreebankStreamTokenizer.
Builds a tokenizer for PennTreebank (release 2) trees.
PennTreebankStreamTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreebankStreamTokenizer
Create a tokenizer for PennTreebank trees This sets up all the character meanings for treebank trees
percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Finds the heads of the tree.
perform_n_iterations(int) - Method in class edu.stanford.nlp.cluster.PLSI
Loops through n iterations of EM
perform_n_iterations(int) - Method in class edu.stanford.nlp.cluster.LSSA
 
PerkUp(Tree, int, String) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
"Perculates" tag info from leaves up through the root
Perplexity - class edu.stanford.nlp.mt.Perplexity.
 
Perplexity() - Constructor for class edu.stanford.nlp.mt.Perplexity
 
PersistentHashList - class edu.stanford.nlp.dbm.PersistentHashList.
Persistent List backed by a SimpleDatabase
PersistentHashList(SimpleDatabase) - Constructor for class edu.stanford.nlp.dbm.PersistentHashList
Creates a new PersistentHashList backed by db
PersistentHashList(String) - Constructor for class edu.stanford.nlp.dbm.PersistentHashList
Creates a new PersistentHashList backed by an SLJDB with filename filename.db.
perturbTransitions(double[][]) - Static method in class edu.stanford.nlp.ie.hmm.Structure
 
plot(int, int, int, int) - Method in class edu.stanford.nlp.util.SVDPlotter
 
PLSI - class edu.stanford.nlp.cluster.PLSI.
Probabilistic Latent Semantic Indexing.
PLSI() - Constructor for class edu.stanford.nlp.cluster.PLSI
Sets values for db, nt, nd;
PNPC - class edu.stanford.nlp.ie.pcfg.PNPC.
Statistical classifier of unseen proper noun phrases.
PNPC(List, List) - Constructor for class edu.stanford.nlp.ie.pcfg.PNPC
Constructs a new PNPC which is trained on the given file.
PnpClassifier - class edu.stanford.nlp.ie.pnp.PnpClassifier.
Statistical classifier of unseen proper noun phrases.
PnpClassifier(String) - Constructor for class edu.stanford.nlp.ie.pnp.PnpClassifier
Constructs a new PnpClassifier which is trained on the given file.
PnpGenerator - class edu.stanford.nlp.ie.pnp.PnpGenerator.
Generates novel PNPs using a trained PnpClassifier.
PnpGenerator(PnpClassifier) - Constructor for class edu.stanford.nlp.ie.pnp.PnpGenerator
Constructs a new PnpClassifier using the given PnpClassifier to generate novel PNPs.
populate_backward_trellis() - Method in class edu.stanford.nlp.cluster.LSSA
populate backward trellis given the sequence of observations in the document collection being clustered the algorithm for this is presented on page 331 of Manning and Schutze (1999)
populate_forward_trellis() - Method in class edu.stanford.nlp.cluster.LSSA
populate forward trellis given the sequence of observations in the document collection being clustered the algorithm for this is presented on page 327 of Manning and Schutze (1999)
populate_trellis() - Method in class edu.stanford.nlp.cluster.LSSA
 
populate() - Method in class edu.stanford.nlp.dbm.USPDI
same as FileDataCollection.populate, but puts a minimum length restriction on documents that it puts in the document collection.
populate() - Method in class edu.stanford.nlp.dbm.LocusLink
same as FileDataCollection.populate, but puts a minimum length restriction on documents that it puts in the document collection.
populate() - Method in class edu.stanford.nlp.dbm.FileDataCollection
populates the FileDataCollection with information from a file
populated(int, int) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
portNumber - Static variable in class edu.stanford.nlp.ie.pcfg.TBMan
The TBMan parses sentences as it reads them.
portNumber - Static variable in class edu.stanford.nlp.ie.pcfg.Parser
default port number.
POSFilter - class edu.stanford.nlp.classify.POSFilter.
A filter that takes a of tagged text string and a list of parts of speech to be kept, and returns the string that includes only those part of speech.
POSFilter(String[]) - Constructor for class edu.stanford.nlp.classify.POSFilter
 
POSPrepFilter - class edu.stanford.nlp.classify.POSPrepFilter.
Title: Description: Copyright: Copyright (c) 2001 Company:
POSPrepFilter() - Constructor for class edu.stanford.nlp.classify.POSPrepFilter
 
possibleExternal(int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
possibleInternal(int, int, int) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
POSTokenReader - class edu.stanford.nlp.classify.POSTokenReader.
This class reads in Epinions data that has been POS tagged using the Qtag system.
POSTokenReader(String) - Constructor for class edu.stanford.nlp.classify.POSTokenReader
Constructor
pr_d_z - Variable in class edu.stanford.nlp.cluster.SimpleCluster
P(d|z) for a set of w: Probability distribution of data over cluster
pr_w_d() - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
returns the smoothed probability matrix
pr_w_d() - Method in interface edu.stanford.nlp.cluster.SimpleClusters
returns matrix of smoothed probabilities P(w,d)=P(z)P(w|z)P(d|z)
pr_w_z - Variable in class edu.stanford.nlp.cluster.SimpleCluster
P(w|z) for a set of w: Probability distribution of features over cluster
pr_z - Variable in class edu.stanford.nlp.cluster.SimpleCluster
P(z): Probability of given cluster
Precision() - Method in class edu.stanford.nlp.ie.pcfg.Score
 
precision(Tree, Tree, boolean) - Method in class edu.stanford.nlp.parser.oldparser.ParseEval
 
PrecisionRecallStats - class edu.stanford.nlp.stats.PrecisionRecallStats.
Utility class for aggregating counts of true positives, false positives, and false negatives and computing precision/recall/F1 stats.
PrecisionRecallStats() - Constructor for class edu.stanford.nlp.stats.PrecisionRecallStats
Constructs a new PrecisionRecallStats with initially 0 counts.
PrecisionRecallStats(int, int, int) - Constructor for class edu.stanford.nlp.stats.PrecisionRecallStats
Constructs a new PrecisionRecallStats with the given initial counts.
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorParticles
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorOutputTag
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorLastVerb
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorFollowingWClass
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorFollowing2WClass
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorAllTaggerOutputs
 
PREFIX - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
prefixes - Variable in class edu.stanford.nlp.ie.hmm.Structure
 
PREP - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
Preprocess(String, String) - Static method in class edu.stanford.nlp.ie.pcfg.TBMan
This reads in the Acquisitions data set as text and outputs the training data as headline / paragraph pairs.
prepTransformedBobChris() - Static method in class edu.stanford.nlp.trees.TreeNormalizers
 
PRESENCE_SCORE - Variable in class edu.stanford.nlp.ie.merge.UnscoredMerger
score for a field being filled
presentableText() - Method in class edu.stanford.nlp.dbm.BasicDocument
Returns a "pretty" version of the words in this Document suitable for display.
PreTBMan - class edu.stanford.nlp.ie.pcfg.PreTBMan.
 
PreTBMan() - Constructor for class edu.stanford.nlp.ie.pcfg.PreTBMan
 
preTerminalYield() - Method in class edu.stanford.nlp.trees.Tree
Gets the preterminal yield (i.e., tags) of the tree.
preTerminalYield(List) - Method in class edu.stanford.nlp.trees.Tree
Gets the preterminal yield (i.e., tags) of the tree.
prevTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevTagWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevTwoTags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
principalDirection(DoubleMatrix2D) - Method in class edu.stanford.nlp.linalg.EAlgebra
calculates the first eigenvector of the autocorrelation matrix A*Atranspose (the first singular vector of the matrix A) right now the implementation is very slow.
print - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
print_non_zeros() - Method in class edu.stanford.nlp.tagger.maxent.ErrorTags
 
print_non_zeros() - Method in class edu.stanford.nlp.tagger.maxent.ConfusionMatrixUnKnown
 
print_non_zeros() - Method in class edu.stanford.nlp.tagger.maxent.ConfusionMatrix
 
print_non_zeros() - Method in class edu.stanford.nlp.tagger.maxent.ConfMatUnconsidered
 
print_pr_transition() - Method in class edu.stanford.nlp.cluster.HiddenState
 
print_trellis() - Method in class edu.stanford.nlp.cluster.HiddenState
 
print() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Print out p(y|x) for all pairs to the standard output.
print() - Method in class edu.stanford.nlp.maxent.iis.Problem
 
print() - Method in class edu.stanford.nlp.maxent.iis.Features
 
print() - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
print() - Method in class edu.stanford.nlp.maxent.iis.Feature
Prints out the points where the feature is non-zero and the values at these points.
print() - Method in class edu.stanford.nlp.maxent.iis.BinaryFeature
Print put the pairs for which the feature is true
print() - Method in class edu.stanford.nlp.mt.WordExPair
 
print() - Method in class edu.stanford.nlp.mt.IntTriple
 
print() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
print() - Method in class edu.stanford.nlp.mt.IntPair
 
print() - Method in class edu.stanford.nlp.mt.TTable
 
print() - Method in class edu.stanford.nlp.mt.SymbolTable
 
print() - Method in class edu.stanford.nlp.mt.Word
 
print() - Method in class edu.stanford.nlp.mt.WordEx
 
print() - Method in class edu.stanford.nlp.mt.Sentence
 
print() - Method in class edu.stanford.nlp.mt.IntTuple
 
print() - Method in class edu.stanford.nlp.mt.SentencePair
 
print() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
print() - Method in class edu.stanford.nlp.tagger.maxent.ErrorTags
 
print() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
print() - Method in class edu.stanford.nlp.tagger.maxent.History
 
print() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
print() - Method in class edu.stanford.nlp.tagger.maxent.ConfusionMatrixUnKnown
 
print() - Method in class edu.stanford.nlp.tagger.maxent.ConfusionMatrix
 
print() - Method in class edu.stanford.nlp.tagger.maxent.ConfMatUnconsidered
 
print() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
print() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
print() - Method in class edu.stanford.nlp.redwoods.ProductionsTable
 
print() - Method in class edu.stanford.nlp.redwoods.IntTuple
 
print(boolean) - Method in class edu.stanford.nlp.mt.SentenceHandler
 
print(Graphics, PageFormat, int) - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
Paints the confusion matrix for printout.
print(PrintFile) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
print(PrintStream) - Method in class edu.stanford.nlp.maxent.iis.Feature
 
print(String) - Method in class edu.stanford.nlp.maxent.iis.Problem
 
print(String) - Static method in class edu.stanford.nlp.util.Dbg
Print the debug message to a file or stderr
printAlignToFile(SentencePair, PrintStream, int[], int, double) - Static method in class edu.stanford.nlp.mt.Reports
 
printAmbiguous() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
printAnswers() - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker
Prints answer word sequences for the correct answers for this document.
printAnswerWordSequences(int[]) - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker
Prints the list of unique answers for each type determined by the given type sequence.
printBasicProbs() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
printBasicProbs() - Method in class edu.stanford.nlp.mt.ATableHMM2
 
printBasicProbs() - Method in class edu.stanford.nlp.mt.ATableHMM
 
PrintBestParses(Tree, List) - Static method in class edu.stanford.nlp.ie.pcfg.Tester
 
printDiff(Tree, Tree) - Static method in class edu.stanford.nlp.parser.Tdiff
 
printEmissions(boolean) - Method in interface edu.stanford.nlp.ie.hmm.EmitMap
Print all or some emissions of emitMap
printFeatures() - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
printFeatures() - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
printFeatures() - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
PrintFile - class edu.stanford.nlp.io.PrintFile.
Shorthand class for opening an output file for human-readable output.
PrintFile(File) - Constructor for class edu.stanford.nlp.io.PrintFile
 
PrintFile(String) - Constructor for class edu.stanford.nlp.io.PrintFile
 
printList() - Method in class edu.stanford.nlp.classify.FeatureMaker
Prints a list of the words in the HashMap.
println(int, String) - Static method in class edu.stanford.nlp.util.Dbg
prints string s only if the verbosity exceeds v
PrintMissingRules(IEMan, Tree) - Static method in class edu.stanford.nlp.ie.pcfg.Tester
 
PrintParse(Tree, XTagSet) - Static method in class edu.stanford.nlp.ie.pcfg.Tester
 
printProbs() - Method in class edu.stanford.nlp.ie.hmm.HMM
Prints transitions and states.
printProbs() - Method in class edu.stanford.nlp.mt.ATableHMMFull
 
printProbs() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
 
printProbs() - Method in class edu.stanford.nlp.mt.ATableHMM2
 
printProbs() - Method in class edu.stanford.nlp.mt.ATable
 
printProbs() - Method in class edu.stanford.nlp.mt.ATableHMM
 
printProbs() - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
printProbs() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
PrintRules(TBMan, IEMan, List, XTagSet) - Static method in class edu.stanford.nlp.ie.pcfg.Tester
 
PrintScores(boolean) - Method in class edu.stanford.nlp.ie.pcfg.ScoreMan
prints the scores to System.out.
printSent() - Method in class edu.stanford.nlp.tagger.maxent.History
 
printStates(State[]) - Method in class edu.stanford.nlp.ie.hmm.HMM
 
printStats() - Method in class edu.stanford.nlp.classify.MassVerifier
Prints some statistics for each category.
PrintStats(XTagSet, List) - Static method in class edu.stanford.nlp.ie.pcfg.Tester
 
printToFile(String, String) - Static method in class edu.stanford.nlp.util.Dbg
Prints to a file.
printToFile(String, String, boolean) - Static method in class edu.stanford.nlp.util.Dbg
Prints to a file.
printTop(PrintFile) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
This method should be called after the sentence has been tagged.
printTopN(int) - Method in class edu.stanford.nlp.classify.FileSorter
This method prints the top n features for each class.
printTransitions(State[]) - Static method in class edu.stanford.nlp.ie.hmm.HMM
 
printTree(DataDouble, DataDouble) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
Print all features in a tree with their weights but only if the differ from values in another tree
printTreeLeaves(DataDouble) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
print all features for which the name contains a terminal
PrintTreeSentences(List) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
prints a list of trees as sentences see GetSentenceAsString
printTrellis(String, double[][]) - Method in class edu.stanford.nlp.ie.hmm.HMM
Print out a complete trellis (a state x time double array.
printTrellis(String, double[][], int, int) - Method in class edu.stanford.nlp.ie.hmm.HMM
Print out a time slice of a trellis (a state x time double array.
printTrellis(String, double[][], int, int, int) - Method in class edu.stanford.nlp.ie.hmm.HMM
Print out a time slice of a trellis (a state x time double array.
printTrieDFSA(DFSA) - Static method in class edu.stanford.nlp.fsm.DFSA
 
printUnknown(int, PrintFile) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
This method should be called after the sentence has been tagged.
printUnseenEmissions(NumberFormat) - Method in interface edu.stanford.nlp.ie.hmm.EmitMap
 
printWordPairs(Tree, FileWriter) - Method in class edu.stanford.nlp.trees.PairFinder
Finds all argument-head and modifier-head pairs and prints them out.
priorBoost - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
prob - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
Title: Maximum Entropy Tool.
prob - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
prob(Observation) - Method in class edu.stanford.nlp.stats.AbstractDistribution
 
prob(Observation) - Method in interface edu.stanford.nlp.stats.Distribution
 
ProbabilitySet - class edu.stanford.nlp.classify.ProbabilitySet.
This class manipulates an array of ClassProbabilities.
ProbabilitySet(int) - Constructor for class edu.stanford.nlp.classify.ProbabilitySet
Constructor
probConds - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Conditional probabilities.
ProbCountHolder - class edu.stanford.nlp.mt.ProbCountHolder.
 
ProbCountHolder - class edu.stanford.nlp.redwoods.ProbCountHolder.
 
ProbCountHolder() - Constructor for class edu.stanford.nlp.mt.ProbCountHolder
 
ProbCountHolder() - Constructor for class edu.stanford.nlp.redwoods.ProbCountHolder
 
ProbCountHolder(double, double) - Constructor for class edu.stanford.nlp.mt.ProbCountHolder
 
ProbCountHolder(double, double) - Constructor for class edu.stanford.nlp.redwoods.ProbCountHolder
 
Problem - class edu.stanford.nlp.maxent.iis.Problem.
This is a general class for Problem to be solved by the MaxEnt toolkit.
Problem() - Constructor for class edu.stanford.nlp.maxent.iis.Problem
 
Problem(Experiments, Features) - Constructor for class edu.stanford.nlp.maxent.iis.Problem
 
ProblemSolverHPSG - class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG.
 
ProblemSolverHPSG() - Constructor for class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
ProblemSolverHPSG(String) - Constructor for class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
process(Collection) - Method in class edu.stanford.nlp.ie.hmm.AnswerConstructor
Reads in the given collection of Words and using either the wordTypes passed into the constructor or the types of the words if none were provided to the constructor, pulls out the sequences of words with a non-zero type.
process(Collection) - Method in class edu.stanford.nlp.process.StoplistFilter
Takes a Collection of words and returns a Collection of the same words with the stoplisted words removed.
process(Collection) - Method in class edu.stanford.nlp.process.SentenceBoundaryDetector
 
process(Collection) - Method in class edu.stanford.nlp.process.NumberFilter
Takes an Iterator over a set of words and returns an Iterator over the same words with all the words transformed to lower case.
process(Collection) - Method in class edu.stanford.nlp.process.Lowercaser
Takes a Collection of mixed-case Words and returns a collection of lowercase Words.
process(Collection) - Method in interface edu.stanford.nlp.process.Processor
Converts a Collection to a different Collection, by transforming or filtering the original Collection.
process(Collection) - Method in class edu.stanford.nlp.process.CollectionProcessor
Converts a Collection to a different Collection, by transforming or filtering the original Collection using the Appliable given in the constructor.
processFile(File) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Load a collection of parse trees from the file of given name.
processFile(File) - Method in class edu.stanford.nlp.trees.MemorySentencebank
Load a collection of parse sentences from the file of given name.
processFile(File) - Method in interface edu.stanford.nlp.util.FileProcessor
Apply this predicate to a File.
Processor - interface edu.stanford.nlp.process.Processor.
 
processPath(File, FileFilter, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
Apply a function to the files under a given directory and perhaps its subdirectories.
processPath(File, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
Apply a method to the files under a given directory and perhaps its subdirectories.
processPath(String, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
Apply a method to the files under a given directory and perhaps its subdirectories.
processSentence(Sentence) - Method in interface edu.stanford.nlp.trees.SentenceProcessor
Does whatever one needs to do to a particular sentence.
processTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeProcessor
Does whatever one needs to do to a particular parse tree.
ProductionsTable - class edu.stanford.nlp.redwoods.ProductionsTable.
 
ProductionsTable() - Constructor for class edu.stanford.nlp.redwoods.ProductionsTable
 
PROGRESS - Static variable in class edu.stanford.nlp.util.Dbg
 
projectOnto(Collection) - Method in class edu.stanford.nlp.stats.Factor
 
PRONOUN - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
prpTransformedBobChris() - Static method in class edu.stanford.nlp.trees.TreeNormalizers
 
prune(Filter) - Method in class edu.stanford.nlp.trees.Tree
Creates a deep copy of the tree, where all nodes that the filter does not accept and all children of such nodes are pruned.
prune(Filter, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Creates a deep copy of the tree, where all nodes that the filter does not accept and all children of such nodes are pruned.
PruneNodesStripSubtagsTreeNormalizer - class edu.stanford.nlp.trees.PruneNodesStripSubtagsTreeNormalizer.
??
PruneNodesStripSubtagsTreeNormalizer(Filter) - Constructor for class edu.stanford.nlp.trees.PruneNodesStripSubtagsTreeNormalizer
 
PTable - class edu.stanford.nlp.mt.PTable.
 
PTable(SentenceHandler) - Constructor for class edu.stanford.nlp.mt.PTable
 
ptb - Static variable in class edu.stanford.nlp.ie.pcfg.Parser
default location for the Penn Treebank data.
PTBLexer - class edu.stanford.nlp.annotation.PTBLexer.
This class is a scanner generated by JFlex 1.3.5 on 8/5/02 12:16 AM from the specification file file:/dfs/hake/0/grow/lexer/jflex/ptblexer.flex
PTBTokenizer - class edu.stanford.nlp.process.PTBTokenizer.
 
PTBTokenizer() - Constructor for class edu.stanford.nlp.process.PTBTokenizer
 
ptield() - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
ptield(int) - Method in class edu.stanford.nlp.maxent.iis.Experiments
When we want a pregiven number of classes.
ptieldX(int) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
ptieldXY(int, int) - Static method in class edu.stanford.nlp.maxent.iis.Experiments
 
ptieldY(int) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
PUNCT - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
put(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
put(Object, Object) - Method in class edu.stanford.nlp.database.SLJDB
 
put(Object, Object) - Method in class edu.stanford.nlp.database.HashDB
 
put(Object, Object) - Method in class edu.stanford.nlp.database.DummyDB
Inserts Object into database
put(Object, Object) - Method in interface edu.stanford.nlp.database.SimpleDatabase
Inserts Object into database
put(Object, Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
putAssoc(FeatureKey, int) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
px - Variable in class edu.stanford.nlp.maxent.iis.Experiments
px[x] holds the number of times the history x appeared in training data py[y] holds the number of times the outcome y appeared in training data
pxy - Static variable in class edu.stanford.nlp.maxent.iis.Experiments
pxy[x][y]=# times (x,y) occurred in training
py - Variable in class edu.stanford.nlp.maxent.iis.Experiments
 
PZero - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 

Q

QUALIFIED_NUM - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 

R

r - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
rand - Static variable in class edu.stanford.nlp.ie.pnp.PnpClassifier
 
rand - Static variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
randomVariables - Variable in class edu.stanford.nlp.stats.Factor
 
RankedExtractor - interface edu.stanford.nlp.ie.RankedExtractor.
Interface for information extraction components that support merging of two Instances, using field-level confidence ratings.
read_prev(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.maxent.iis.Feature
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.WordTag
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.History
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.util.Pair
Read a string representation of a Pair from a DataStream.
read(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Read the model parameters from a file ( only the lambdas )
read(String) - Method in class edu.stanford.nlp.maxent.iis.Features
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
read(String) - Method in class edu.stanford.nlp.mt.TTable
read from a file
read(String) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
reading the jump probabilities and initializing
read(String) - Method in class edu.stanford.nlp.mt.ATableHMM2
reading the jump probabilities and initializing
read(String) - Method in class edu.stanford.nlp.mt.ATableHMM
reading the jump probabilities and initializing
read(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Read saved tagger parameters and load them
read(String) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeatures
 
read(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
readAssociations(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
This reads the .assoc file.
readAttribute(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
Parse an attribute specification.
readAttribute(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
Parse an attribute specification.
readAttribute(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
Parse an attribute specification.
readChar() - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
readChar() - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
ReadData - class edu.stanford.nlp.tagger.maxent.ReadData.
 
readData(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
reads one data instance - one line of the file adds the instance to the features which are non-zero for it also adds it to the list of instances for its class
readData(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
reads one data instance - one line of the file adds the instance to the features which are non-zero for it also adds it to the list of instances for its class
readData(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
ReadData(String) - Constructor for class edu.stanford.nlp.tagger.maxent.ReadData
 
ReadDataHPSG - class edu.stanford.nlp.maxent.iis.ReadDataHPSG.
 
ReadDataHPSG() - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
ReadDataHPSG(String) - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
ReadDataHPSG(String, ReadDataHPSG) - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
ReadDataHPSGBinary - class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary.
 
ReadDataHPSGBinary() - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
ReadDataHPSGBinary(String) - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
ReadDataHPSGBinary(String, ReadDataHPSG) - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
ReadDataTagged - class edu.stanford.nlp.tagger.maxent.ReadDataTagged.
Reads tagged data from a file and creates a dictionary
ReadDataTagged(String) - Constructor for class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
ReadDataWeka - class edu.stanford.nlp.maxent.iis.ReadDataWeka.
 
ReadDataWeka() - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
ReadDataWeka(String) - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
ReadDataWeka(String, ReadDataWeka) - Constructor for class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
readDictionary(String) - Method in class edu.stanford.nlp.mt.SymbolTable
 
readEmissionProbabilities(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
read the extractors from a filename
readExtractors(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
read the extractors from a filename
readHMM1(String) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
reading the jump probabilities from an HMM1 file and initializing
readHMM1(String) - Method in class edu.stanford.nlp.mt.ATableHMM2
reading the jump probabilities from an HMM1 file and initializing
readInfo(String) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
read in sentence info and return it in ArrayList
readInKeys(BufferedReader) - Method in class edu.stanford.nlp.classify.FileSorter
 
readInProbs(BufferedReader) - Method in class edu.stanford.nlp.classify.FileSorter
 
readOldLambdas(String, String) - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
 
readOutput(int, String, boolean) - Method in class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
 
readPrint(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
readRule() - Method in class edu.stanford.nlp.lexgram.SimpleGrammarFileReader
 
ReadRules(String) - Static method in class edu.stanford.nlp.ie.pcfg.XRule
Reads XRules from a file
readSentence() - Method in class edu.stanford.nlp.trees.SentenceReader
Reads a single sentence.
readTagging(SimpleLexicon) - Method in class edu.stanford.nlp.lexgram.SimpleLexiconFileReader
 
readTrainingInstances(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
readTrainingInstances(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
readTrainingInstances(String) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
readTrainingInstances(String) - Method in class edu.stanford.nlp.maxent.iis.AnalyseNominal
 
readTree() - Method in class edu.stanford.nlp.trees.TreeReader
Returns a single tree, which is in standard Penn Treebank format, with or without an additional set of parens around it (an unnamed ROOT node).
ReadTree(String) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
reads a single tree from a file
ReadTrees(String) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
reads a list of trees from a file
readValuesFromFile(String) - Static method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
Reads in a File for a confusion matrix and returns an int[][] with the values.
Recall() - Method in class edu.stanford.nlp.ie.pcfg.Score
 
reconcileConflictedField(Relation, Instance, Instance, Confidence, Confidence, Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Similar to reconcileIgnoredFields except it handles fields specified by suppressConflictPenalty.
reconcileIgnoredFields(Instance, Instance, Confidence, Confidence, Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.WebSearchMerger
Concats urls together, just keeps one copy of the search term.
reconcileIgnoredFields(Instance, Instance, Confidence, Confidence, Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
When two instances are merged, fields specified by ignoreField are ignored until the end, when this method is called.
reestimate(boolean) - Method in class edu.stanford.nlp.ie.hmm.HMM
Do one iteration of Baum-Welch parameter re-estimation over the entire set of trainDocs.
RegexpExtractor - class edu.stanford.nlp.ie.regexp.RegexpExtractor.
SingleFieldExtractor that matches text using a regular expression.
RegexpExtractor(String, String) - Constructor for class edu.stanford.nlp.ie.regexp.RegexpExtractor
Constructs a new RegexpExtractor to extract the given relation name using the given regular expression string.
RegexpExtractorCreator - class edu.stanford.nlp.ie.regexp.RegexpExtractorCreator.
Utility for creating and serializing RegexpExtractors.
RegexpExtractorCreator() - Constructor for class edu.stanford.nlp.ie.regexp.RegexpExtractorCreator
 
RegexpsFieldExtractor - class edu.stanford.nlp.ie.regexp.RegexpsFieldExtractor.
An implmentation of the general FieldExtractor interfaces which fills in multiple fields by matching various regular expressions.
RegexpsFieldExtractor(String[], String[], int[], String[]) - Constructor for class edu.stanford.nlp.ie.regexp.RegexpsFieldExtractor
Create a new RegexpsFieldExtractor.
RegexpsFieldExtractorCreator - class edu.stanford.nlp.ie.regexp.RegexpsFieldExtractorCreator.
Utility for creating and serializing RegexpExtractors.
REGULAR_HMM - Static variable in class edu.stanford.nlp.ie.hmm.HMM
 
reIndex() - Method in class edu.stanford.nlp.cluster.VectorClusters
 
reIndex() - Method in interface edu.stanford.nlp.cluster.Clusters
Re-indexes clusters.
ReInit(ChunkerTokenManager) - Method in class edu.stanford.nlp.ie.desc.Chunker
 
ReInit(HtmlLexerTokenManager) - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
ReInit(InputStream) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
ReInit(InputStream) - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
ReInit(InputStream) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
ReInit(InputStream) - Method in class edu.stanford.nlp.ie.desc.Chunker
 
ReInit(InputStream, int, int) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
ReInit(InputStream, int, int) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
ReInit(InputStream, int, int, int) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
ReInit(InputStream, int, int, int) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
ReInit(Reader) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
ReInit(Reader) - Method in class edu.stanford.nlp.annotation.HtmlLexer
 
ReInit(Reader) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
ReInit(Reader) - Method in class edu.stanford.nlp.ie.desc.Chunker
 
ReInit(Reader, int, int) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
ReInit(Reader, int, int) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
ReInit(Reader, int, int, int) - Method in class edu.stanford.nlp.annotation.SimpleCharStream
 
ReInit(Reader, int, int, int) - Method in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
ReInit(SimpleCharStream) - Method in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
ReInit(SimpleCharStream) - Method in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
ReInit(SimpleCharStream, int) - Method in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
ReInit(SimpleCharStream, int) - Method in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
release_mem() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
release() - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
release() - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
release() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
release() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
release() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
reliable(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
remove(Cluster) - Method in class edu.stanford.nlp.cluster.VectorClusters
 
remove(Cluster) - Method in interface edu.stanford.nlp.cluster.Clusters
Removes Cluster cluster
remove(int) - Method in class edu.stanford.nlp.dbm.PersistentHashList
 
remove(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
removes i'th element of array and shifts everything to the left
remove(int) - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
removes i'th element of array and shifts everything to the left
remove(Object) - Method in class edu.stanford.nlp.database.SLJDB
 
remove(Object) - Method in class edu.stanford.nlp.database.HashDB
 
remove(Object) - Method in class edu.stanford.nlp.database.DummyDB
Removes Object from database
remove(Object) - Method in interface edu.stanford.nlp.database.SimpleDatabase
Removes Object from database
remove(Object) - Method in class edu.stanford.nlp.trees.Treebank
This operation isn't supported for a Treebank.
remove(Object) - Method in class edu.stanford.nlp.trees.Sentencebank
This operation isn't supported for a Sentencebank.
remove(Object) - Method in class edu.stanford.nlp.util.TopBeam
 
remove(Object) - Method in class edu.stanford.nlp.util.LikelihoodBeam
 
remove(Object) - Method in class edu.stanford.nlp.util.Beam
 
remove(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
removeAll(Collection) - Method in class edu.stanford.nlp.util.Beam
 
removeColumn(int) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
 
RemoveDuplicates(List) - Static method in class edu.stanford.nlp.ie.pcfg.Util
removes duplicates from a list.
removeElementAt(int) - Method in class edu.stanford.nlp.cluster.VectorClusters
 
removeElementAt(int) - Method in interface edu.stanford.nlp.cluster.Clusters
Removes cluster at index index
removeEntry(Object) - Method in class edu.stanford.nlp.redwoods.RuleTable
 
removeEntry(Object, Object) - Method in class edu.stanford.nlp.redwoods.RuleTable
 
removeFromMapValueSet(Map, Object, Object) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
removeLast() - Method in class edu.stanford.nlp.maxent.iis.Problem
 
removeLast() - Method in class edu.stanford.nlp.maxent.iis.Features
 
RemoveOneOccurrence(List, Object) - Static method in class edu.stanford.nlp.ie.pcfg.Util
removes the first occurrence of o in list.
removeRule(Rule) - Method in interface edu.stanford.nlp.lexgram.Grammar
 
removeRule(Rule) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
RemoveSpacesFilter - class edu.stanford.nlp.classify.RemoveSpacesFilter.
This filter removes the spaces in the middle of the POS tags, so that tokenization will happen properly.
RemoveSpacesFilter() - Constructor for class edu.stanford.nlp.classify.RemoveSpacesFilter
 
removeTagging(Label, Word) - Method in interface edu.stanford.nlp.lexgram.Lexicon
 
removeTagging(Label, Word) - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
removeTagging(Label, Word, double) - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
reorganizeTable() - Method in class edu.stanford.nlp.mt.SymbolTable
 
repeat - Variable in class edu.stanford.nlp.ie.pcfg.IEMan
if repeat, the program reads the PNPC lexicon from rulesFN rather than generating it again.
Reports - class edu.stanford.nlp.mt.Reports.
 
Reports() - Constructor for class edu.stanford.nlp.mt.Reports
 
reset() - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Causes the currently in-scope tag to be removed from scope.
reset() - Method in class edu.stanford.nlp.classify.LinkedList
 
reset() - Method in class edu.stanford.nlp.classify.FeatureSet
This method must be called before each iteration through the FeatureSet.
reset() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
sets to zero
RestrictedDataMatrix - class edu.stanford.nlp.dbm.RestrictedDataMatrix.
"Restricted Bag of Features" Feature Matrix.
RestrictedDataMatrix(GrowableMatrix, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.RestrictedDataMatrix
 
RestrictedDataMatrix(String, IndexedSet) - Constructor for class edu.stanford.nlp.dbm.RestrictedDataMatrix
 
result() - Method in class edu.stanford.nlp.classify.Verifier
Returns the result from comparing these two classes.
retainAll(Collection) - Method in class edu.stanford.nlp.util.Beam
 
retainOnlyTarget(String) - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
revert(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
revert(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
rewind(boolean) - Method in class edu.stanford.nlp.mt.SentenceHandler
 
rhs - Variable in class edu.stanford.nlp.ie.pcfg.XRule
the right-hand side of the rule.
rightChild() - Method in class edu.stanford.nlp.cluster.HHCluster
Returns right child of HHCluster
rightWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
rowIndex() - Method in class edu.stanford.nlp.linalg.Entry
returns row index of Entry
rows - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
rows() - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
 
rows() - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
 
rows() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
rows() - Method in interface edu.stanford.nlp.linalg.Matrix
returns number of rows in matrix
rStar - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
rule - Variable in class edu.stanford.nlp.ie.pcfg.LookupRule
 
Rule - interface edu.stanford.nlp.lexgram.Rule.
Rule: Interface for representing a generic rewrite rule.
RuleTable - class edu.stanford.nlp.redwoods.RuleTable.
 
RuleTable() - Constructor for class edu.stanford.nlp.redwoods.RuleTable
 
RUNAWAY_TAG - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 

S

save_after(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
save_lambdas(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Writes the lambdas to the file.
save_param(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
This saves the parameters in a file like for the Improved Iterative.
save_prev(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.maxent.iis.Feature
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.WordTag
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.History
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.util.Pair
Write a string representation of a Pair from a DataStream.
save(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Saves xSize,ySize and the lambdas to the file.
save(String) - Method in class edu.stanford.nlp.maxent.iis.Features
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.ReadDataWeka
 
save(String) - Method in class edu.stanford.nlp.mt.TTable
save to a file with integer ids
save(String) - Method in class edu.stanford.nlp.mt.PTable
 
save(String) - Method in class edu.stanford.nlp.mt.StayGoTables
 
save(String) - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Saving just the jump probabilities
save(String) - Method in class edu.stanford.nlp.mt.ATableHMM2
Saving just the jump probabilities
save(String) - Method in class edu.stanford.nlp.mt.StayGoTable
 
save(String) - Method in class edu.stanford.nlp.mt.ATable
Actually appends to file.
save(String) - Method in class edu.stanford.nlp.mt.ATableHMM
Saving just the jump probabilities
save(String) - Method in class edu.stanford.nlp.mt.ATableHMMHolder
Save all alignment probabilities to a file
save(String) - Method in class edu.stanford.nlp.tagger.maxent.ReadData
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeatures
 
save(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
saveAssociations(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
saveEmissionProbabilities(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
serialize the probsTable in filename
saveExtractors(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
serialize the ExtractorFrames and ExtractorFramesRare in filename
saveModel(String, String, int, String[], boolean) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
Reads in the training corpus from a filename and trains the tagger
saveNames(int, String) - Method in class edu.stanford.nlp.mt.ATableHMMHolder
Save all alignment probabilities to a file with the words rather than their Ids
saveNames(String) - Method in class edu.stanford.nlp.mt.TTable
save to a file with the words rather than ids
saveNames(String) - Method in class edu.stanford.nlp.mt.ATableHMMHolder
Save all alignment probabilities to a file with the words rather than their Ids
savePrint(PrintFile) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
saveTreebankToFile(String, int, int) - Static method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
Save the treebank sections to a file in format [word_tag ]+ per sentence per line
scale - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
scale(double) - Method in class edu.stanford.nlp.linalg.AbstractArray
 
scale(double) - Method in interface edu.stanford.nlp.linalg.Array
Returns this * factor does not change receiver.
scale(int) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
returns a ScientificNotationdouble whose base is scaled so that it = base * 10^e the base may no longer be >=1 and <10 does not change this
SCANNER_OFF - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Argument to constructor: place all words into chart on initialization
SCANNER_ON - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Argument to constructor: scan (shift) words one at a time, as in the original Earley algorithm
scatter - Variable in class edu.stanford.nlp.cluster.SimpleCluster
scatter value of data in cluster.
ScientificNotationDouble - class edu.stanford.nlp.math.ScientificNotationDouble.
ScientificNotationDouble allows very small and very large numbers to be multiplied without causing a floating point underflow/overflow.
ScientificNotationDouble() - Constructor for class edu.stanford.nlp.math.ScientificNotationDouble
creates a new ScientificNotationDouble with value 0
ScientificNotationDouble(double) - Constructor for class edu.stanford.nlp.math.ScientificNotationDouble
constructs ScientificNotationDouble from a standard double
ScientificNotationDouble(double, int) - Constructor for class edu.stanford.nlp.math.ScientificNotationDouble
constructs ScientificNotationDouble given a base b and an exponent e
ScientificNotationDouble(int) - Constructor for class edu.stanford.nlp.math.ScientificNotationDouble
constructs ScientificNotationDouble from a standard int
ScientificNotationDouble(ScientificNotationDouble) - Constructor for class edu.stanford.nlp.math.ScientificNotationDouble
constructs ScientificNotationDouble from another ScientificNotationDouble
score - Variable in class edu.stanford.nlp.cluster.AbstractSimpleClusters
 
score - Variable in class edu.stanford.nlp.fsm.DFSAState
 
score - Variable in class edu.stanford.nlp.fsm.DFSA
 
score - Variable in class edu.stanford.nlp.lexgram.SimpleRule
 
score - Variable in class edu.stanford.nlp.parser.oldparser.Traversal
 
score - Variable in class edu.stanford.nlp.util.ScoredPair
 
Score - class edu.stanford.nlp.ie.pcfg.Score.
An information extraction system's score (on a single tag).
score() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
score() - Method in class edu.stanford.nlp.fsm.DFSAState
 
score() - Method in class edu.stanford.nlp.fsm.DFSA
 
score() - Method in class edu.stanford.nlp.lexgram.SimpleRule
 
score() - Method in class edu.stanford.nlp.lexgram.DFSARule
 
score() - Method in interface edu.stanford.nlp.lexgram.Rule
 
score() - Method in class edu.stanford.nlp.parser.oldparser.Traversal
 
score() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Returns the score associated with the current node, or Nan if there is no score
score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Returns the node's score.
score() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Returns the score associated with the current node, or Nan if there is no score
score() - Method in class edu.stanford.nlp.trees.Constituent
access score
score() - Method in class edu.stanford.nlp.trees.Tree
Returns the score associated with the current node, or NaN if there is no score.
score() - Method in class edu.stanford.nlp.util.ScoredPair
 
score() - Method in class edu.stanford.nlp.util.ScoredObject
 
score() - Method in interface edu.stanford.nlp.util.Scored
Return the score of this thing
Score() - Constructor for class edu.stanford.nlp.ie.pcfg.Score
 
score(int, int) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
gives the Naive Bayes score of a given sense (category) for a given datum in test set
score(Matrix) - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Evaluates score of cluster based on an adaptation of equation (10) from Savaresi and Boley
score(Matrix) - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Evaluates score of Clusters
score(Observation) - Method in interface edu.stanford.nlp.stats.ObservationScorer
Return the score for an observation
Score(XTagSet, XTagSet) - Method in class edu.stanford.nlp.ie.pcfg.ScoreMan
adjusts scores as necessary, given a correct tag set (what the system should have returned) and a guess tag set (what the system did return)
Score(XTagSet, XTagSet, String) - Constructor for class edu.stanford.nlp.ie.pcfg.Score
 
Scored - interface edu.stanford.nlp.util.Scored.
Scored Author: Dan Klein Date: 12/4/00 Interface for representing a scored things
ScoredComparator - class edu.stanford.nlp.util.ScoredComparator.
ScoredComparator: Interface for comparing scored things.
ScoredComparator() - Constructor for class edu.stanford.nlp.util.ScoredComparator
 
ScoredComparator(boolean) - Constructor for class edu.stanford.nlp.util.ScoredComparator
 
ScoredObject - class edu.stanford.nlp.util.ScoredObject.
Scored Object: Wrapper class for holding a scored object
ScoredObject() - Constructor for class edu.stanford.nlp.util.ScoredObject
 
ScoredObject(Object, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
 
ScoredPair - class edu.stanford.nlp.util.ScoredPair.
Scored Pair: Class for holding a scored pair of objects
ScoredPair() - Constructor for class edu.stanford.nlp.util.ScoredPair
 
ScoredPair(Object, Object, double) - Constructor for class edu.stanford.nlp.util.ScoredPair
 
ScoredPriorityAgenda - class edu.stanford.nlp.util.ScoredPriorityAgenda.
ScoredPriorityAgenda
ScoredPriorityAgenda() - Constructor for class edu.stanford.nlp.util.ScoredPriorityAgenda
 
ScoreHandler - class edu.stanford.nlp.classify.ScoreHandler.
 
ScoreHandler() - Constructor for class edu.stanford.nlp.classify.ScoreHandler
 
ScoreMan - class edu.stanford.nlp.ie.pcfg.ScoreMan.
A score manager.
ScoreMan(List) - Constructor for class edu.stanford.nlp.ie.pcfg.ScoreMan
creates a new ScoreMan.
scoreOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
scoreRule(Rule) - Method in interface edu.stanford.nlp.lexgram.Grammar
 
scoreRule(Rule) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
scores - Variable in class edu.stanford.nlp.ie.pcfg.ScoreMan
a list of Scores.
scoresOf(double[]) - Method in interface edu.stanford.nlp.classification.internal.IClassifier
The internal scoring function.
scoresOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
scoreTagging(Label, Word) - Method in interface edu.stanford.nlp.lexgram.Lexicon
 
scoreTagging(Label, Word) - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
ScoreTagSet(Tree, XTagSet) - Method in class edu.stanford.nlp.ie.pcfg.IEMan
Calculates the probability that this tagset corresponds to this tree.
scoreTree(Tree, SimpleGrammar, SimpleLexicon) - Static method in class edu.stanford.nlp.util.KleinUtils
 
searchRank - Variable in class edu.stanford.nlp.web.WebSearch
When currentURL changes, the searchRank is updated.
second - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
second() - Method in class edu.stanford.nlp.util.Pair
 
secondTaggerOutput - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
seenSet() - Method in class edu.stanford.nlp.util.Counter
 
selectClassifiers() - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
SensevalFormatConverter - class edu.stanford.nlp.wsd.SensevalFormatConverter.
Class with methods for converting and padding Senseval-1 and Senseval-2 format files to CS224N format files.
SensevalFormatConverter() - Constructor for class edu.stanford.nlp.wsd.SensevalFormatConverter
 
SensevalOutput - class edu.stanford.nlp.wsd.SensevalOutput.
A handler whose parse method converts CS224N format output files to Senseval format output files.
SensevalOutput() - Constructor for class edu.stanford.nlp.wsd.SensevalOutput
 
Sentence - class edu.stanford.nlp.mt.Sentence.
 
Sentence - class edu.stanford.nlp.trees.Sentence.
Sentence holds a single sentence, and mediating between word numbers and words.
Sentence() - Constructor for class edu.stanford.nlp.mt.Sentence
 
Sentence() - Constructor for class edu.stanford.nlp.trees.Sentence
Constructs an empty sentence.
Sentence(Collection) - Constructor for class edu.stanford.nlp.trees.Sentence
Constructs a sentence from the input Collection.
Sentence(List, List) - Constructor for class edu.stanford.nlp.trees.Sentence
Create a Sentence as a list of TaggedWord from two lists of String, one for the words, and the second for the tags.
Sentence(WordEx[]) - Constructor for class edu.stanford.nlp.mt.Sentence
 
Sentencebank - class edu.stanford.nlp.trees.Sentencebank.
A Sentencebank object provides access to a corpus of sentences -- just plain sentences or tagged sentences, etc.
Sentencebank() - Constructor for class edu.stanford.nlp.trees.Sentencebank
Create a new Sentencebank.
Sentencebank(int) - Constructor for class edu.stanford.nlp.trees.Sentencebank
Create a new Sentencebank.
Sentencebank(int, SentenceReaderFactory) - Constructor for class edu.stanford.nlp.trees.Sentencebank
Create a new Sentencebank.
Sentencebank(SentenceReaderFactory) - Constructor for class edu.stanford.nlp.trees.Sentencebank
Create a new Sentencebank.
SentenceBoundaryDetector - class edu.stanford.nlp.process.SentenceBoundaryDetector.
A (terrible) SentenceBoundaryDetector built to test the Processor interface.
SentenceBoundaryDetector() - Constructor for class edu.stanford.nlp.process.SentenceBoundaryDetector
 
SentenceHandler - class edu.stanford.nlp.mt.SentenceHandler.
Reads in the corpus both training and test and stores them in buffers
SentenceHandler(String, String) - Constructor for class edu.stanford.nlp.mt.SentenceHandler
 
SentenceHandler(String, String, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.mt.SentenceHandler
 
SentenceNormalizer - class edu.stanford.nlp.trees.SentenceNormalizer.
A class for sentence normalization.
SentenceNormalizer() - Constructor for class edu.stanford.nlp.trees.SentenceNormalizer
 
SentencePair - class edu.stanford.nlp.mt.SentencePair.
 
SentencePair() - Constructor for class edu.stanford.nlp.mt.SentencePair
 
SentencePair(int, Sentence, Sentence) - Constructor for class edu.stanford.nlp.mt.SentencePair
 
SentenceProcessor - interface edu.stanford.nlp.trees.SentenceProcessor.
This is a simple interface for operations that are going to be applied to a Sentence.
SentenceReader - class edu.stanford.nlp.trees.SentenceReader.
A SentenceReader adds functionality to a Reader by reading in Sentences, or some descendant class.
SentenceReader(Reader) - Constructor for class edu.stanford.nlp.trees.SentenceReader
Read sentences from a Reader.
SentenceReader(Reader, LabelFactory) - Constructor for class edu.stanford.nlp.trees.SentenceReader
Read sentences from a Reader.
SentenceReader(Reader, LabelFactory, SentenceNormalizer) - Constructor for class edu.stanford.nlp.trees.SentenceReader
Read sentences from a Reader.
SentenceReader(Reader, LabelFactory, SentenceNormalizer, StreamTokenizer) - Constructor for class edu.stanford.nlp.trees.SentenceReader
Read sentences from a Reader.
SentenceReaderFactory - interface edu.stanford.nlp.trees.SentenceReaderFactory.
A SentenceReaderFactory is a factory for creating objects of class SentenceReader, or some descendent class.
sentenceReaderFactory() - Method in class edu.stanford.nlp.trees.Sentencebank
Get the SentenceReaderFactory for a Sentencebank -- this method is provided in order to make the SentenceReaderFactory available to subclasses.
SepHeadFinder - class edu.stanford.nlp.trees.SepHeadFinder.
Exactly the same as CollinsHeadFinder, except it allows for NP-SBJ tags.
SepHeadFinder() - Constructor for class edu.stanford.nlp.trees.SepHeadFinder
 
SepTreeNormalizer - class edu.stanford.nlp.trees.SepTreeNormalizer.
Exactly like BobChrisTreeNormalize, except does not strip SBJ functional tags from NP-SBJ.
SepTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.SepTreeNormalizer
 
set_a(int, ScientificNotationDouble) - Method in class edu.stanford.nlp.cluster.HiddenState
 
set_alpha(int, int, ScientificNotationDouble) - Method in class edu.stanford.nlp.cluster.HiddenState
 
set_alpha(ScientificNotationDouble[][]) - Method in class edu.stanford.nlp.cluster.HiddenState
 
set_b(int, ScientificNotationDouble) - Method in class edu.stanford.nlp.cluster.HiddenState
 
set_beta(int, int, ScientificNotationDouble) - Method in class edu.stanford.nlp.cluster.HiddenState
 
set_beta(ScientificNotationDouble[][]) - Method in class edu.stanford.nlp.cluster.HiddenState
 
set_pi(ScientificNotationDouble) - Method in class edu.stanford.nlp.cluster.HiddenState
 
set_pr_d_z(Array) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
set_pr_d_z(Array) - Method in interface edu.stanford.nlp.cluster.Cluster
Sets entire P(d|z) array to prdz
set_pr_d_z(int, double) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
set_pr_d_z(int, double) - Method in interface edu.stanford.nlp.cluster.Cluster
Sets P(d|z) for d=datum_index to value P(d|z) is the probability of datum d, given this cluster
set_pr_w_z(Array) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
set_pr_w_z(Array) - Method in interface edu.stanford.nlp.cluster.Cluster
Sets entire P(w|z) array to prwz
set_pr_w_z(int, double) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
set_pr_w_z(int, double) - Method in interface edu.stanford.nlp.cluster.Cluster
Sets P(w|z) for w=feature_index to value P(w|z) is the probability of feature w, given this cluster
set_pr_z(double) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
set_pr_z(double) - Method in interface edu.stanford.nlp.cluster.Cluster
Sets P(z) to value P(z) is the cluster probability, or cluster weight
set(DataMatrix) - Method in class edu.stanford.nlp.dbm.FileDataCollection
 
set(double) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
set(double) - Method in class edu.stanford.nlp.maxent.iis.HoldDouble
 
set(double, int) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
set(Extractor, int) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
set(int) - Method in class edu.stanford.nlp.dbm.FileDataCollection
 
set(int) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
set(int) - Method in class edu.stanford.nlp.util.MutableInteger
 
set(int, Cluster) - Method in class edu.stanford.nlp.cluster.VectorClusters
 
set(int, Cluster) - Method in interface edu.stanford.nlp.cluster.Clusters
Sets the value of index index to cluster
set(int, double) - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
set(int, double) - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
set(int, double) - Method in class edu.stanford.nlp.linalg.DenseSNDArray
 
set(int, double) - Method in class edu.stanford.nlp.linalg.DenseIntArray
 
set(int, double) - Method in class edu.stanford.nlp.linalg.DenseDoubleArray
 
set(int, double) - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
set(int, double) - Method in interface edu.stanford.nlp.linalg.Array
Sets value of element at index i to val
set(int, FeatureTemplate) - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplates
 
set(int, int) - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
set(int, int) - Method in class edu.stanford.nlp.linalg.DenseIntArray
 
set(int, int) - Method in class edu.stanford.nlp.mt.IntTriple
 
set(int, int) - Method in class edu.stanford.nlp.mt.IntQuadruple
 
set(int, int) - Method in class edu.stanford.nlp.mt.IntPair
 
set(int, int) - Method in class edu.stanford.nlp.mt.Word
 
set(int, int) - Method in class edu.stanford.nlp.mt.IntTuple
 
set(int, int) - Method in class edu.stanford.nlp.redwoods.IntTuple
 
set(int, int, double) - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
sets i,j th element of Matrix to value
set(int, int, double) - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
sets i,j th element of Matrix to value
set(int, int, double) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
sets i,j th element of Matrix to value
set(int, int, double) - Method in interface edu.stanford.nlp.linalg.Matrix
 
set(int, int, int) - Method in class edu.stanford.nlp.tagger.maxent.History
 
set(int, int, int, float) - Method in class edu.stanford.nlp.mt.Array3
 
set(int, int, int, int, float) - Method in class edu.stanford.nlp.mt.Array4
 
set(int, Number) - Method in class edu.stanford.nlp.linalg.DenseNumberArray
 
set(int, Object) - Method in class edu.stanford.nlp.dbm.PersistentHashList
 
set(Label, DFSAState, int, int, boolean, double) - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
set(List) - Method in class edu.stanford.nlp.dbm.FileDataCollection
 
set(String, double) - Method in interface edu.stanford.nlp.ie.hmm.EmitMap
 
setAccepting(boolean) - Method in class edu.stanford.nlp.fsm.DFSAState
 
setAll(double) - Method in class edu.stanford.nlp.linalg.AbstractArray
sets all elements = value (in sparse matrices, sets all nonzero elements = value)
setAll(double) - Method in interface edu.stanford.nlp.linalg.Array
Sets all elements = value (in sparse matrices, sets all nonzero elements = value)
setAmbClasses() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
This makes ambiguity classes from all words in the dictionary and remembers their classes in the TagCounts
setArticleNum(int) - Method in class edu.stanford.nlp.classify.ScoreHandler
 
setBase(double) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
setCategory(String) - Method in class edu.stanford.nlp.trees.NullLabel
 
setCategory(String) - Method in class edu.stanford.nlp.trees.CategoryWordTag
 
setCategory(String) - Method in interface edu.stanford.nlp.trees.HasCategory
Set the category value for the label (if one is stored).
setCategory(String) - Method in class edu.stanford.nlp.trees.Category
 
setCategoryWordTag(String, String, String) - Method in class edu.stanford.nlp.trees.CategoryWordTag
 
setChildren(List) - Method in class edu.stanford.nlp.trees.Tree
Set the children of this tree node to the given list.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.SimpleTree
 
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Sets the children of this Tree
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no children.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.Tree
Set the children of this node to be the children given in the array.
setColumn(int, Array) - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
setColumn(int, Array) - Method in class edu.stanford.nlp.linalg.ArrayListMatrix
 
setColumn(int, Array) - Method in interface edu.stanford.nlp.linalg.Matrix
sets column with index index = column
setColumnIndex(int) - Method in class edu.stanford.nlp.linalg.AbstractArray
setColumnIndex(ci).
setColumnIndex(int) - Method in class edu.stanford.nlp.linalg.Entry
If the entry is a column vector entry, sets the Column index to i.
setColumnIndex(int) - Method in interface edu.stanford.nlp.linalg.Array
Sets column index of column vector.
setConfidence(Relation, double) - Method in class edu.stanford.nlp.ie.Confidence
Set the confidence ranking for a field, specified by Relation.
setConfidence(String, double) - Method in class edu.stanford.nlp.ie.Confidence
Set the confidence ranking for a field, specified by Relation.
setConflictPenalty(double) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Sets the conflict penalty.
setCount(double) - Method in class edu.stanford.nlp.mt.ProbCountHolder
 
setCount(double) - Method in class edu.stanford.nlp.redwoods.ProbCountHolder
 
setCount(Feature, double) - Method in class edu.stanford.nlp.classify.ClassProbability
Sets the count of the Feature "key" to "count"
setCount(Object, double) - Method in class edu.stanford.nlp.util.Counter
 
setData(Map, Map) - Method in class edu.stanford.nlp.util.SVDPlotter
 
setDebugStream(PrintStream) - Method in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
setDebugStream(PrintStream) - Method in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
setDefaultIgnores(boolean) - Method in class edu.stanford.nlp.annotation.HtmlCleaner
The default html elements to ignore are: comments; script, style, server, and applet tags and the text within those tags; meta and area tags.
setDefaults(String) - Method in class edu.stanford.nlp.dbm.FileDataCollection
Sets DataMatrix, List, Processors, to default values, where features and data are stored in memory.
setDefaults(String) - Method in class edu.stanford.nlp.dbm.DataSet
Sets DataMatrix, List, Processors, to default values, where features and data are stored in memory.
setDefaults(String, String) - Method in class edu.stanford.nlp.dbm.FileDataCollection
Sets DataMatrix, List, Processors, to default values, where features and data are stored on disk in directory dir.
setDefaults(String, String) - Method in class edu.stanford.nlp.dbm.DataSet
Sets DataMatrix, List, Processors, to default values, where features and data are stored on disk in directory dir.
setDiscardComments(boolean) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Determines whether or not html-style comments are discarded.
setDiscardHtml(boolean) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Determines whether or not html is discarded -- both html tags and escape characters such as &nbsp;.
setDiscardInactiveTags(boolean) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Determines whether or not inactive tags are discarded.
setDiscardScript(boolean) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Determines whether or not script, server, applet, and style (i.e., cascading style sheets) code is discarded.
setDiscardTargetTags(boolean) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Determines whether or not active target tags are discarded.
setEmpty() - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQSG
 
setEmpty() - Method in class edu.stanford.nlp.mt.AlHandlerHMM1SG
 
setEnd(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
set end node.
setEnd(int) - Method in class edu.stanford.nlp.trees.Constituent
set end node.
setEndCount(int) - Method in class edu.stanford.nlp.classify.MedlineHandler
 
setExponent(int) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
setFeatures() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSGBinary
 
setFeatures() - Method in class edu.stanford.nlp.maxent.iis.ReadDataHPSG
 
setFollow(String) - Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
setFollow(String) - Method in interface edu.stanford.nlp.trees.HasFollow
Set the follow value for the label (if one is stored).
setFromString(String) - Method in class edu.stanford.nlp.trees.TaggedWord
Sets a TaggedWord from decoding the String passed in.
setFromString(String) - Method in class edu.stanford.nlp.trees.CategoryWordTag
Set everything by reversing a two string operation.
setFromString(String) - Method in class edu.stanford.nlp.trees.AbstractLabel
 
setFromString(String) - Method in class edu.stanford.nlp.trees.StringLabel
Set the label from a String.
setFromString(String) - Method in class edu.stanford.nlp.trees.Constituent
Make a new label with this String as the "name", perhaps by doing some appropriate decoding of the string.
setFromString(String) - Method in interface edu.stanford.nlp.trees.Label
Set the contents of this label to this String representing the complete contents of the label.
setGlobalRanking(double) - Method in class edu.stanford.nlp.ie.Confidence
Sets the global confidence ranking field.
setHMM(HMM) - Method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
 
setID(int) - Method in class edu.stanford.nlp.classify.FeatureSet
Sets the ID (true classification) of the FeatureSet.
setIgnoreComments(boolean) - Method in class edu.stanford.nlp.annotation.HtmlCleaner
Specifies whether comments should be ignored.
setIndex(int) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
setIndex(int) - Method in interface edu.stanford.nlp.cluster.Cluster
Sets cluster index to i
setIndex(int) - Method in class edu.stanford.nlp.mt.WordEx
 
setInitialState(DFSAState) - Method in class edu.stanford.nlp.fsm.DFSA
 
setInputFile(String) - Method in class edu.stanford.nlp.classify.MedlineHandler
 
setK(int) - Method in class edu.stanford.nlp.classify.KNN
sets the number of nearest neighbors to use in K-Nearest-Neighbors algorithm.
setKeeperCharacters(String) - Method in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Determines which (non-html) delimiters to return as tokens.
setLabel(Label) - Method in class edu.stanford.nlp.dbm.BasicDocument
Removes all currently assigned Labels for this Document then adds the given Label.
setLabel(Label) - Method in class edu.stanford.nlp.dbm.BasicDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Sets the label associated with the current node, if there is one.
setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Sets the label associated with the current node, if there is one.
setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledConstituent
 
setLabel(Label) - Method in class edu.stanford.nlp.trees.Constituent
Sets the label associated with the current Constituent, if there is one.
setLabel(Label) - Method in class edu.stanford.nlp.trees.Tree
Sets the label associated with the current node, if there is one.
setLabel(Label) - Method in interface edu.stanford.nlp.trees.Labeled
Sets the label associated with this object.
setLabels(Collection) - Method in class edu.stanford.nlp.dbm.BasicDocument
Removes all currently assigned labels for this Document then adds all of the given Labels.
setLabels(Collection) - Method in class edu.stanford.nlp.dbm.BasicDatum
Removes all currently assigned labels for this Datum then adds all of the given Labels.
setLabels(Collection) - Method in class edu.stanford.nlp.trees.Constituent
 
setLabels(Collection) - Method in class edu.stanford.nlp.trees.Tree
 
setLabels(Collection) - Method in interface edu.stanford.nlp.trees.Labeled
Sets the labels associated with this object.
SetLabels(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Converts tree labels from strings to XLabel.toString().
setLabelShowing(boolean) - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Sets whether to paint the number of the value on the cell.
SetLeaves(Tree) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
Copies tag information from ParentOfLeaves to leaves.
setMaxY(int[]) - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
setMergePenalty(double) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Sets the merge penalty.
setMeshSet(HashSet) - Method in class edu.stanford.nlp.classify.ScoreHandler
 
setMiddle(int) - Method in class edu.stanford.nlp.mt.IntTriple
 
setMiddle(int) - Method in class edu.stanford.nlp.mt.IntQuadruple
 
setObject(Object) - Method in class edu.stanford.nlp.util.ScoredObject
 
setOneField(Relation, Instance, Instance, Confidence, Confidence, Instance, Confidence) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
For the specified relation, takes the the value in the instance with the higher confidence, otherwise i1's value if it's a tie.
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.TPHandlerNULL
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.TPHandlerNM
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.TPHandlerFE1
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.TPHandler
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.CHandler
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2Tags
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQSG
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2EQ
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM2E
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1Tags
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1SG
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1F
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandler
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1
 
setPair(SentencePair) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1E
 
setParent(HHCluster) - Method in class edu.stanford.nlp.cluster.HHCluster
Sets parent of HHCluster to be par
setPenalty(double) - Method in class edu.stanford.nlp.ie.Confidence
Sets the penalty field.
setPrior(double) - Method in class edu.stanford.nlp.classify.ClassProbability
Sets the prior probability of this class to "pri".
setProb(double) - Method in class edu.stanford.nlp.mt.ProbCountHolder
 
setProb(double) - Method in class edu.stanford.nlp.redwoods.ProbCountHolder
 
setProb(Feature, double) - Method in class edu.stanford.nlp.classify.ClassProbability
Sets the probability of the Feature "key" to "prob"
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Sets the score associated with the current node, if there is one.
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.Constituent
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.Tree
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.util.ScoredPair
 
setScore(double) - Method in class edu.stanford.nlp.util.ScoredObject
 
setServiceRanking(double, double, double, double) - Method in class edu.stanford.nlp.web.WebSearch
If more than one search service is used, then the results are ordered according to what order individual urls appear on each service's results page as well as the services' own ranking.
setSibling(HHCluster) - Method in class edu.stanford.nlp.cluster.HHCluster
Sets sibling of HHCluster to be sib
setSize(int) - Method in class edu.stanford.nlp.classify.ClassProbability
Sets the number of keys in this ClassProbability.
setSize(int) - Method in class edu.stanford.nlp.cluster.VectorClusters
 
setSize(int) - Method in interface edu.stanford.nlp.cluster.Clusters
Sets the the number of Clusters in Clusters
setSmallToZero(int) - Method in class edu.stanford.nlp.math.ScientificNotationDouble
set numbers which are smaller than 10^tolerance = 0 the tolerance should usually be a large negative number
setSmoothing(ATable) - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
setSource(int) - Method in class edu.stanford.nlp.mt.IntTriple
 
setSource(int) - Method in class edu.stanford.nlp.mt.IntQuadruple
 
setSource(int) - Method in class edu.stanford.nlp.mt.IntPair
 
setSource(WordEx) - Method in class edu.stanford.nlp.mt.WordExPair
 
setStart(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
set start node.
setStart(int) - Method in class edu.stanford.nlp.trees.Constituent
set start node.
setStartCount(int) - Method in class edu.stanford.nlp.classify.MedlineHandler
 
setStateID(Object) - Method in class edu.stanford.nlp.fsm.DFSAState
 
setSum() - Method in class edu.stanford.nlp.maxent.iis.Feature
 
setTag(int, String) - Method in class edu.stanford.nlp.tagger.maxent.History
 
setTag(String) - Method in class edu.stanford.nlp.trees.TaggedWord
 
setTag(String) - Method in class edu.stanford.nlp.trees.NullLabel
 
setTag(String) - Method in class edu.stanford.nlp.trees.Tag
 
setTag(String) - Method in interface edu.stanford.nlp.trees.HasTag
Set the tag value for the label (if one is stored).
setTag(String) - Method in class edu.stanford.nlp.trees.CategoryWordTag
 
setTarget(int) - Method in class edu.stanford.nlp.mt.IntTriple
 
setTarget(int) - Method in class edu.stanford.nlp.mt.IntQuadruple
 
setTarget(int) - Method in class edu.stanford.nlp.mt.IntPair
 
setTarget(WordEx) - Method in class edu.stanford.nlp.mt.WordExPair
 
setTarget2(int) - Method in class edu.stanford.nlp.mt.IntQuadruple
 
setTask(int) - Method in class edu.stanford.nlp.classify.ScoreHandler
 
setTask(int) - Method in class edu.stanford.nlp.classify.MedlineHandler
 
setTermCounts() - Method in class edu.stanford.nlp.cluster.LSSA
helper function for new_pr_d_z sets term counts for all terms only needs to be called once, term counts don't change with each iteration
settime() - Method in class edu.stanford.nlp.mt.GlobalParams
 
setTimeout(int) - Method in class edu.stanford.nlp.web.WebSearch
Specifies how long before an HTTP request times out.
setTitle(String) - Method in class edu.stanford.nlp.dbm.BasicDocument
Sets the title of this Document to the given title.
setType(int) - Method in class edu.stanford.nlp.ie.hmm.TypedTaggedWord
 
setType(int) - Method in interface edu.stanford.nlp.ie.hmm.HasType
Set the type value for the label (if one is stored).
setUniform(ATable) - Method in class edu.stanford.nlp.mt.ATableHMMHolder
 
setVacuousMergePenalty(double) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Sets the vacuous merge penalty.
setValue(int) - Method in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter.CellPlotter
Sets the value (count) represented by this CellPlotter.
setValue(int) - Method in class edu.stanford.nlp.mt.IntHolder
 
setValue(String) - Method in class edu.stanford.nlp.trees.AbstractLabel
Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.trees.StringLabel
Set the value for the label.
setValue(String) - Method in class edu.stanford.nlp.trees.Constituent
Set the value for the label (if one is stored).
setValue(String) - Method in interface edu.stanford.nlp.trees.Label
Set the value for the label (if one is stored).
setValue(String, String) - Method in class edu.stanford.nlp.stats.HashObservation
Sets the value of a single RandomVariable in this observation.
setValue(String, String) - Method in interface edu.stanford.nlp.stats.Observation
 
setVerbosity(int) - Static method in class edu.stanford.nlp.util.Dbg
Sets the verbosity to v.
setWeight(double) - Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
setWeight(double) - Method in interface edu.stanford.nlp.util.Weighted
Set the weight of this thing
setWeight(int, int, double) - Method in class edu.stanford.nlp.ie.hmm.Structure
Sets the weight for the transition from fromState to toState
setWord(String) - Method in class edu.stanford.nlp.trees.NullLabel
 
setWord(String) - Method in class edu.stanford.nlp.trees.CategoryWordTag
 
setWord(String) - Method in interface edu.stanford.nlp.trees.HasWord
Set the word value for the label (if one is stored).
setWord(String) - Method in class edu.stanford.nlp.trees.Word
 
setWords(Collection) - Method in class edu.stanford.nlp.trees.Sentence
Set the Sentence to this Collection of Word's.
setX(int, Object) - Method in class edu.stanford.nlp.maxent.iis.DataString
 
setX(int, Object) - Method in class edu.stanford.nlp.maxent.iis.Data
 
setX(int, Object) - Method in class edu.stanford.nlp.maxent.iis.DataGeneric
 
setX(int, Object) - Method in class edu.stanford.nlp.maxent.iis.DataDouble
 
setX(int, Object) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
setX(Object[]) - Method in class edu.stanford.nlp.maxent.iis.DataString
 
setX(Object[]) - Method in class edu.stanford.nlp.maxent.iis.Data
 
setX(Object[]) - Method in class edu.stanford.nlp.maxent.iis.DataGeneric
 
setX(Object[]) - Method in class edu.stanford.nlp.maxent.iis.DataDouble
 
setX(Object[]) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
setY(String) - Method in class edu.stanford.nlp.maxent.iis.DataString
 
setY(String) - Method in class edu.stanford.nlp.maxent.iis.Data
 
setY(String) - Method in class edu.stanford.nlp.maxent.iis.DataGeneric
 
setY(String) - Method in class edu.stanford.nlp.maxent.iis.DataDouble
 
setY(String) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
setZero() - Method in class edu.stanford.nlp.mt.Array4
 
setZero() - Method in class edu.stanford.nlp.mt.Array3
 
shallowClosure(Grammar, Lexicon, Label) - Method in class edu.stanford.nlp.lexgram.GrammarCompiler
 
shortArrToByteArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
shortArrToByteArr(short[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
shortArrToByteArr(short[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
sibling() - Method in class edu.stanford.nlp.cluster.HHCluster
Returns sibling of HHCluster
Similar(XLabel, boolean, boolean) - Method in class edu.stanford.nlp.ie.pcfg.XLabel
Checks whether two labels are the same.
Similar(XRule, boolean, boolean) - Method in class edu.stanford.nlp.ie.pcfg.XRule
compares two rules.
Similar(XRule, XRule, boolean, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.XRule
compares two rules.
Similar(XTagSet, XTagSet, int) - Static method in class edu.stanford.nlp.ie.pcfg.XTagSet
 
similarities - Variable in class edu.stanford.nlp.cluster.SimilarityMatrix
 
Similarity - interface edu.stanford.nlp.linalg.Similarity.
Interface for a set of static classes which have a similarity function similarity(Array i, Array j), which returns a double rating the similarity of the two vectors
similarity(Array, Array) - Method in class edu.stanford.nlp.linalg.Cosine
calculates the cosine of the angle between Array i and Array j
similarity(Array, Array) - Method in class edu.stanford.nlp.linalg.AbstractMetric
returns the similarity of document i and j according to the similarity measure defined in this class, which is 2-distance(i,j)
similarity(Array, Array) - Method in interface edu.stanford.nlp.linalg.Similarity
returns the similarity of document i and j according to the similarity measure defined in this class
SimilarityMatrix - class edu.stanford.nlp.cluster.SimilarityMatrix.
Variables and methods for constructing a matrix of similarities of a data collection.
SimilarityMatrix(Clusters) - Constructor for class edu.stanford.nlp.cluster.SimilarityMatrix
Creates new SimilarityMatrix with default Cosine Similarity
SimilarityMatrix(Matrix) - Constructor for class edu.stanford.nlp.cluster.SimilarityMatrix
Creates new SimilarityMatrix with default Cosine Similarity
SimilarityMatrix(Similarity, Clusters) - Constructor for class edu.stanford.nlp.cluster.SimilarityMatrix
Creates new SimilarityMatrix with Similarity Metric defined by client
SimilarityMatrix(Similarity, Matrix) - Constructor for class edu.stanford.nlp.cluster.SimilarityMatrix
Creates new SimilarityMatrix with Similarity Metric defined by client
SimpleBlas - class edu.stanford.nlp.linalg.SimpleBlas.
A version of cern.colt.matrix.linalg.SeqBlas that can be instantiated.
SimpleBlas() - Constructor for class edu.stanford.nlp.linalg.SimpleBlas
 
SimpleCharStream - class edu.stanford.nlp.annotation.SimpleCharStream.
An implementation of interface CharStream, where the stream is assumed to contain only ASCII characters (without unicode processing).
SimpleCharStream - class edu.stanford.nlp.ie.desc.SimpleCharStream.
An implementation of interface CharStream, where the stream is assumed to contain only ASCII characters (without unicode processing).
SimpleCharStream(InputStream) - Constructor for class edu.stanford.nlp.annotation.SimpleCharStream
 
SimpleCharStream(InputStream) - Constructor for class edu.stanford.nlp.ie.desc.SimpleCharStream
 
SimpleCharStream(InputStream, int, int) - Constructor for class edu.stanford.nlp.annotation.SimpleCharStream
 
SimpleCharStream(InputStream, int, int) - Constructor for class edu.stanford.nlp.ie.desc.SimpleCharStream
 
SimpleCharStream(InputStream, int, int, int) - Constructor for class edu.stanford.nlp.annotation.SimpleCharStream
 
SimpleCharStream(InputStream, int, int, int) - Constructor for class edu.stanford.nlp.ie.desc.SimpleCharStream
 
SimpleCharStream(Reader) - Constructor for class edu.stanford.nlp.annotation.SimpleCharStream
 
SimpleCharStream(Reader) - Constructor for class edu.stanford.nlp.ie.desc.SimpleCharStream
 
SimpleCharStream(Reader, int, int) - Constructor for class edu.stanford.nlp.annotation.SimpleCharStream
 
SimpleCharStream(Reader, int, int) - Constructor for class edu.stanford.nlp.ie.desc.SimpleCharStream
 
SimpleCharStream(Reader, int, int, int) - Constructor for class edu.stanford.nlp.annotation.SimpleCharStream
 
SimpleCharStream(Reader, int, int, int) - Constructor for class edu.stanford.nlp.ie.desc.SimpleCharStream
 
SimpleChartParser - class edu.stanford.nlp.parser.oldparser.SimpleChartParser.
SimpleChartParser: Tests ChartParser functionality.
SimpleCluster - class edu.stanford.nlp.cluster.SimpleCluster.
A simple implementation of Cluster.
SimpleCluster(double, Array, Array, int) - Constructor for class edu.stanford.nlp.cluster.SimpleCluster
 
SimpleCluster(int, int) - Constructor for class edu.stanford.nlp.cluster.SimpleCluster
 
SimpleCluster(int, int, int) - Constructor for class edu.stanford.nlp.cluster.SimpleCluster
 
SimpleClusters - interface edu.stanford.nlp.cluster.SimpleClusters.
Simple Interface for a collection of Clusters.
SimpleCollection - class edu.stanford.nlp.dbm.SimpleCollection.
Just like AbstractCollection, but it implements the size() method for you in the obvious way by using the Iterator.
SimpleCollection() - Constructor for class edu.stanford.nlp.dbm.SimpleCollection
 
SimpleConstituent - class edu.stanford.nlp.trees.SimpleConstituent.
A SimpleConstituent object defines a generic edge in a graph.
SimpleConstituent() - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
Create an empty SimpleConstituent object.
SimpleConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
Create a SimpleConstituent object with given values.
SimpleConstituentFactory - class edu.stanford.nlp.trees.SimpleConstituentFactory.
A ConstituentFactory acts as a factory for creating objects of class Constituent, or some descendent class.
SimpleConstituentFactory() - Constructor for class edu.stanford.nlp.trees.SimpleConstituentFactory
 
SimpleDatabase - interface edu.stanford.nlp.database.SimpleDatabase.
Interface for databases which store and retrieve key-value pairs
SimpleGoodTuring - class edu.stanford.nlp.classify.SimpleGoodTuring.
 
SimpleGoodTuring(int[], int[], int) - Constructor for class edu.stanford.nlp.classify.SimpleGoodTuring
Constructor: rt is an array of frequencies, nt is an array of frequencies of frequencies, and rowst is the size of these arrays.
SimpleGrammar - class edu.stanford.nlp.lexgram.SimpleGrammar.
 
SimpleGrammar() - Constructor for class edu.stanford.nlp.lexgram.SimpleGrammar
 
SimpleGrammarFileReader - class edu.stanford.nlp.lexgram.SimpleGrammarFileReader.
A simple class to read grammars.
SimpleGrammarFileReader(File) - Constructor for class edu.stanford.nlp.lexgram.SimpleGrammarFileReader
 
SimpleGrammarFileReader(String) - Constructor for class edu.stanford.nlp.lexgram.SimpleGrammarFileReader
 
simpleGrammarToListDFSAGrammar(SimpleGrammar) - Method in class edu.stanford.nlp.lexgram.GrammarCompiler
 
simpleGrammarToMinDFSAGrammar(SimpleGrammar) - Method in class edu.stanford.nlp.lexgram.GrammarCompiler
 
simpleGrammarToTrieDFSAGrammar(SimpleGrammar) - Method in class edu.stanford.nlp.lexgram.GrammarCompiler
 
SimpleLexicon - class edu.stanford.nlp.lexgram.SimpleLexicon.
Implements a simple lexicon that maps from POS tags to words.
SimpleLexicon() - Constructor for class edu.stanford.nlp.lexgram.SimpleLexicon
 
SimpleLexiconFileReader - class edu.stanford.nlp.lexgram.SimpleLexiconFileReader.
A simple class to read lexicons.
SimpleLexiconFileReader(File) - Constructor for class edu.stanford.nlp.lexgram.SimpleLexiconFileReader
 
SimpleLexiconFileReader(String) - Constructor for class edu.stanford.nlp.lexgram.SimpleLexiconFileReader
 
SimpleRule - class edu.stanford.nlp.lexgram.SimpleRule.
SimpleRule: Class for representing a generic rewrite rule.
SimpleRule(Label, List) - Constructor for class edu.stanford.nlp.lexgram.SimpleRule
 
SimpleRule(Label, List, double) - Constructor for class edu.stanford.nlp.lexgram.SimpleRule
 
SimpleSentenceReaderFactory - class edu.stanford.nlp.trees.SimpleSentenceReaderFactory.
This class implements a simple default SentenceReaderFactory
SimpleSentenceReaderFactory() - Constructor for class edu.stanford.nlp.trees.SimpleSentenceReaderFactory
 
SimpleStatistics - class edu.stanford.nlp.stats.SimpleStatistics.
Statistics Module to count events and calculate statistics and probability measures.
SimpleStatistics() - Constructor for class edu.stanford.nlp.stats.SimpleStatistics
 
SimpleTokenizer - class edu.stanford.nlp.process.SimpleTokenizer.
A tokenizer has methods for tokenizing a String as words or sentences
SimpleTokenizer() - Constructor for class edu.stanford.nlp.process.SimpleTokenizer
 
SimpleTree - class edu.stanford.nlp.trees.SimpleTree.
A SimpleTree is a minimal concrete implementation of an unlabeled, unscored Tree.
SimpleTree() - Constructor for class edu.stanford.nlp.trees.SimpleTree
Create an empty parse tree.
SimpleTree(Label) - Constructor for class edu.stanford.nlp.trees.SimpleTree
Create parse tree with given root and null daughters.
SimpleTree(Label, List) - Constructor for class edu.stanford.nlp.trees.SimpleTree
Create parse tree with given root and array of daughter trees.
SimpleTreeFactory - class edu.stanford.nlp.trees.SimpleTreeFactory.
A SimpleTreeFactory acts as a factory for creating objects of class SimpleTree.
SimpleTreeFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
Creates a new TreeFactory.
SimpleTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
Creates a new TreeFactory.
SimpleTreeReaderFactory - class edu.stanford.nlp.trees.SimpleTreeReaderFactory.
This class implements a simple default TreeReaderFactory.
SimpleTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeReaderFactory
 
SingleFieldExtractor - class edu.stanford.nlp.ie.SingleFieldExtractor.
Superclass of FieldExtractors that only return a single (literal) field.
SingleFieldExtractor() - Constructor for class edu.stanford.nlp.ie.SingleFieldExtractor
 
SIX - Static variable in class edu.stanford.nlp.util.Dbg
 
size - Variable in class edu.stanford.nlp.maxent.iis.DataString
 
size - Variable in class edu.stanford.nlp.maxent.iis.Data
 
size - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
size - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
size() - Method in class edu.stanford.nlp.cluster.VectorClusters
 
size() - Method in class edu.stanford.nlp.cluster.MatrixDecompositionClusters
Returns number of clusters
size() - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Returns number of clusters
size() - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Returns number of clusters
size() - Method in class edu.stanford.nlp.database.SLJDB
Returns number of elements in database (slow implementation).
size() - Method in class edu.stanford.nlp.database.HashDB
 
size() - Method in class edu.stanford.nlp.database.DummyDB
Returns number of elements in database
size() - Method in interface edu.stanford.nlp.database.SimpleDatabase
Returns number of elements in database
size() - Method in class edu.stanford.nlp.dbm.SimpleCollection
 
size() - Method in class edu.stanford.nlp.dbm.PersistentHashList
Returns the number of elements in this collection.
size() - Method in class edu.stanford.nlp.dbm.DBIndexedSet
 
size() - Method in class edu.stanford.nlp.dbm.AbstractDataCollection
 
size() - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
size() - Method in class edu.stanford.nlp.io.FileSequentialCollection
Returns the size of the FileSequentialCollection.
size() - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
Return the number of words in the lexicon
size() - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
Return the number of (simple linear) rules in the SimpleGrammar.
size() - Method in class edu.stanford.nlp.linalg.GrowableDenseIntArray
 
size() - Method in class edu.stanford.nlp.linalg.GrowableDenseDoubleArray
 
size() - Method in class edu.stanford.nlp.linalg.DenseNumberArray
 
size() - Method in class edu.stanford.nlp.linalg.DenseIntArray
 
size() - Method in class edu.stanford.nlp.linalg.DenseDoubleArray
 
size() - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
size() returns number of elements in Array
size() - Method in interface edu.stanford.nlp.linalg.Array
Returns number of elements in Array
size() - Method in class edu.stanford.nlp.maxent.iis.Features
 
size() - Static method in class edu.stanford.nlp.maxent.iis.Experiments
 
size() - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
size() - Method in class edu.stanford.nlp.stats.HashObservation
Get the number of random variables specified in this observation.
size() - Method in class edu.stanford.nlp.tagger.maxent.FeatureTemplates
 
size() - Method in class edu.stanford.nlp.trees.MemoryTreebank
Returns the size of the Treebank.
size() - Method in class edu.stanford.nlp.trees.MemorySentencebank
Returns the size of the Sentencebank.
size() - Method in class edu.stanford.nlp.trees.Treebank
Returns the size of the Treebank.
size() - Method in class edu.stanford.nlp.trees.Sentencebank
Returns the size of the Sentencebank.
size() - Method in class edu.stanford.nlp.trees.Constituent
Return the length of a Constituent
size() - Method in class edu.stanford.nlp.trees.Tree
Returns the number of nodes the tree contains.
size() - Method in class edu.stanford.nlp.util.ArrayMap
 
size() - Method in interface edu.stanford.nlp.util.Heap
The number of elements currently in the heap.
size() - Method in class edu.stanford.nlp.util.ArrayHeap
Get the number of elements in the heap.
SLASH - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
SLJDB - class edu.stanford.nlp.database.SLJDB.
Simple Lightweight Java Database.
SLJDB(String) - Constructor for class edu.stanford.nlp.database.SLJDB
 
slope - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
SloppyMath - class edu.stanford.nlp.math.SloppyMath.
The class SloppyMath contains methods for performing basic numeric operations.
SloppyMath() - Constructor for class edu.stanford.nlp.math.SloppyMath
 
slurpFile(File) - Static method in class edu.stanford.nlp.util.KleinUtils
 
sly - Static variable in class edu.stanford.nlp.ie.pcfg.IEMan
 
smooth - Static variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
smooth() - Method in class edu.stanford.nlp.classify.GTPreparer
Prepares the necessary frequencies and calls the smoother, returning the smoothed ProbabilitySet.
smooth() - Method in interface edu.stanford.nlp.classify.SmootherB
 
smooth() - Method in class edu.stanford.nlp.classify.AddEpsilonSmoother
This method smooths the probability set by adding one to all of the counts seen in the probability set.
smooth(Matrix) - Method in class edu.stanford.nlp.classify.InfomapSmoother
Returns a smoothed matrix by adding one to each entry.
smooth(Matrix) - Method in interface edu.stanford.nlp.classify.Smoother
 
smooth(Matrix) - Method in class edu.stanford.nlp.classify.AddOneSmoother
Returns a smoothed matrix by adding one to each entry.
Smoother - interface edu.stanford.nlp.classify.Smoother.
Interface for classes which smooth a matrix
SmootherB - interface edu.stanford.nlp.classify.SmootherB.
The Smoother should return a smoothed ProbabilitySet.
softClassify(LabeledDataCollection, DataCollection) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
softClassify(LabeledDataCollection, DataCollection) - Method in interface edu.stanford.nlp.classify.Classifier
Assigns each Datum in the test collection to multiple categories with certain probabilities.
softClassify(LabeledDataCollection, DataCollection) - Method in class edu.stanford.nlp.classify.AbstractClassifier
 
SoftCluster - class edu.stanford.nlp.cluster.SoftCluster.
Soft Cluster.
SoftCluster(int, int) - Constructor for class edu.stanford.nlp.cluster.SoftCluster
Allocates memory for arrays, and initializes values to 0
SoftCluster(int, int, int) - Constructor for class edu.stanford.nlp.cluster.SoftCluster
Allocates memory for arrays, initializes values to 0, and sets index
solve() - Method in class edu.stanford.nlp.maxent.iis.CGRunner
Solves the problem using CG.
SortedArray - class edu.stanford.nlp.classify.SortedArray.
Maintains a sorted array of ints.
SortedArray(int) - Constructor for class edu.stanford.nlp.classify.SortedArray
Constructor: takes the size of the array.
sortInstances(Vector, Vector) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
sorts the instances vector by rank, sorts the confidences in parallel.
sortObservationList(List, Factor, ScoredComparator) - Static method in class edu.stanford.nlp.util.KleinUtils
 
source() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
Span - class edu.stanford.nlp.trees.Span.
A Span is an optimized SimpleConstituent object, It provides exactly the same functionality as a SimpleConstituent, but by being final, and with its own implementation of Span equality, it runs faster, so as to placate Dan Klein.
span() - Method in class edu.stanford.nlp.parser.oldparser.Chart
 
Span() - Constructor for class edu.stanford.nlp.trees.Span
Create an empty Span object.
Span(int, int) - Constructor for class edu.stanford.nlp.trees.Span
Create a Span object with given values.
specialConstructor - Variable in class edu.stanford.nlp.annotation.ParseException
This variable determines which constructor was used to create this object and thereby affects the semantics of the "getMessage" method (see below).
specialConstructor - Variable in class edu.stanford.nlp.ie.desc.ParseException
This variable determines which constructor was used to create this object and thereby affects the semantics of the "getMessage" method (see below).
specialToken - Variable in class edu.stanford.nlp.annotation.Token
This field is used to access special tokens that occur prior to this token, but after the immediately preceding regular (non-special) token.
specialToken - Variable in class edu.stanford.nlp.ie.desc.Token
This field is used to access special tokens that occur prior to this token, but after the immediately preceding regular (non-special) token.
spliceOut(Filter) - Method in class edu.stanford.nlp.trees.Tree
Creates a (partial) deep copy of the tree, where all nodes that the filter does not accept are spliced out.
spliceOut(Filter, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Creates a (partial) deep copy of the tree, where all nodes that the filter does not accept are spliced out.
split(double, double[]) - Method in class edu.stanford.nlp.ie.hmm.Corpus
Divides the corpus into corpora of sizes specified by the fractions argument.
split(HHCluster) - Method in class edu.stanford.nlp.cluster.PDDP
Splits cluster along the hyperplane orthogonal to the principal direction of the cluster.
split(String) - Static method in class edu.stanford.nlp.util.KleinUtils
 
split(String, RE) - Static method in class edu.stanford.nlp.util.KleinUtils
 
splitFrom(double, double) - Method in class edu.stanford.nlp.ie.hmm.Corpus
Returns a corpus with a fraction of the documents starting from a specified point, expressed as a fraction into the corpus.
splitOver(Collection) - Method in class edu.stanford.nlp.stats.Factor
 
splitRandom(double[], long) - Method in class edu.stanford.nlp.ie.hmm.Corpus
Divides the corpus into corpora of sizes specified by the fractions argument.
splitRange(double, double) - Method in class edu.stanford.nlp.ie.hmm.Corpus
Return a corpus with the subset of documents that range from the fraction into the corpus to the end fraction of the corpus.
splitRange(double, double, double, double) - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
splitState(int) - Method in class edu.stanford.nlp.ie.hmm.Structure
Splits a state into two states of the same type producing one new state.
StackAgenda - class edu.stanford.nlp.util.StackAgenda.
StackAgenda
StackAgenda() - Constructor for class edu.stanford.nlp.util.StackAgenda
 
START - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
START_STATE - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
START_SYMBOL - Static variable in class edu.stanford.nlp.ie.pnp.PnpClassifier
 
START_SYMBOL - Static variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
start() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access start node.
start() - Method in class edu.stanford.nlp.trees.Constituent
access start node.
start() - Method in class edu.stanford.nlp.util.SwingWorker
Start the worker thread.
startDocument() - Method in class edu.stanford.nlp.classify.ScoreHandler
 
startDocument() - Method in class edu.stanford.nlp.classify.MedlineHandler
 
startDocument() - Method in class edu.stanford.nlp.wsd.SensevalOutput
 
startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.classify.ScoreHandler
 
startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.classify.MedlineHandler
 
startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.wsd.SensevalOutput
 
STARTIDX - Static variable in class edu.stanford.nlp.ie.hmm.State
This variable indicates a state numbering in a state array, not a state type (unlike the TYPE variables above).
startSymbol - Static variable in class edu.stanford.nlp.ie.pcfg.TreeUtil
this symbol marks the top of a tree.
startTime() - Static method in class edu.stanford.nlp.util.Timing
Start the timing operation
STARTTYPE - Static variable in class edu.stanford.nlp.ie.hmm.State
 
state - Variable in class edu.stanford.nlp.dbm.LocusLinkDocument
 
State - class edu.stanford.nlp.ie.hmm.State.
Class to model a single state in an HMM.
State(int) - Constructor for class edu.stanford.nlp.ie.hmm.State
Creates new state, initializes transitions and type to background.
State(int, EmitMap, double[]) - Constructor for class edu.stanford.nlp.ie.hmm.State
Creates new state, initializes transitions and type.
State(int, EmitMap, int) - Constructor for class edu.stanford.nlp.ie.hmm.State
Creates new state, initializes transitions and type.
stateID - Variable in class edu.stanford.nlp.fsm.DFSAState
 
stateID() - Method in class edu.stanford.nlp.fsm.DFSAState
 
states - Variable in class edu.stanford.nlp.ie.hmm.MultiStructure
 
states - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
states() - Method in class edu.stanford.nlp.fsm.DFSA
 
statesReachable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
stateTypes - Variable in class edu.stanford.nlp.ie.hmm.Structure
 
staticFlag - Static variable in class edu.stanford.nlp.annotation.SimpleCharStream
 
staticFlag - Static variable in class edu.stanford.nlp.ie.desc.SimpleCharStream
 
StaticStringTagger - class edu.stanford.nlp.tagger.maxent.StaticStringTagger.
Static version of StringTagger.
Statistics - interface edu.stanford.nlp.stats.Statistics.
interface for discrete statistics modules
STATISTICS_OFF - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Do not record statistics on Agenda operations
STATISTICS_ON - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Record some statistics on Agenda operations
StayGoTable - class edu.stanford.nlp.mt.StayGoTable.
 
StayGoTable(SentenceHandler) - Constructor for class edu.stanford.nlp.mt.StayGoTable
 
StayGoTables - class edu.stanford.nlp.mt.StayGoTables.
stores several stay go tables for different contexts
StayGoTables(int, SentenceHandler) - Constructor for class edu.stanford.nlp.mt.StayGoTables
 
stem(String) - Method in class edu.stanford.nlp.process.Stemmer
Stems s and returns stemmed String.
stem(Word) - Method in class edu.stanford.nlp.process.Stemmer
Stems w and returns stemmed Word.
Stemmer - class edu.stanford.nlp.process.Stemmer.
Stemmer, implementing the Porter Stemming Algorithm The Stemmer class transforms a word into its root form.
Stemmer() - Constructor for class edu.stanford.nlp.process.Stemmer
 
StopList - class edu.stanford.nlp.process.StopList.
Simple stoplist class.
StopList() - Constructor for class edu.stanford.nlp.process.StopList
 
StopList(File) - Constructor for class edu.stanford.nlp.process.StopList
Constructs a new stoplist from the contents of a file.
StoplistFilter - class edu.stanford.nlp.process.StoplistFilter.
Filter which removes stop-listed words.
StoplistFilter() - Constructor for class edu.stanford.nlp.process.StoplistFilter
Create a new StopListFilter with a small default stoplist
StoplistFilter(String) - Constructor for class edu.stanford.nlp.process.StoplistFilter
Create a new StopListFilter with the stoplist given in stoplistfile
store(String, String) - Method in class edu.stanford.nlp.classify.Tester
This method stores the filtered data in a file for later viewing
storeExtractor(File) - Method in interface edu.stanford.nlp.ie.FieldExtractor
Serializes this FieldExtractor to the given File, so that it can be loaded and used as needed by other parts of the extraction system.
storeExtractor(File) - Method in class edu.stanford.nlp.ie.AbstractFieldExtractor
Serializes this FieldExtractor to the given output file.
storeMerger(File) - Method in class edu.stanford.nlp.ie.merge.AbstractInstanceMerger
Serializes this FieldExtractor to the given output file.
storeMerger(File) - Method in interface edu.stanford.nlp.ie.merge.InstanceMerger
 
storeRDF(Ontology, File) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Serializes the given Ontology as RDF (XML) text to the given File.
storeRDF(Ontology, PrintStream) - Static method in class edu.stanford.nlp.ie.ExtractorUtilities
Writes out RDF text (i.e.
storeRDF(PrintStream) - Method in class edu.stanford.nlp.ie.desc.DescExtractorTest
 
storeRDF(PrintStream) - Method in class edu.stanford.nlp.ie.test.ExtractorTest
 
stringAToByteArr(String) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
StringDistributionDescriptor - class edu.stanford.nlp.stats.StringDistributionDescriptor.
class for "a b | c" descriptors
StringDistributionDescriptor(String) - Constructor for class edu.stanford.nlp.stats.StringDistributionDescriptor
 
StringDistributionDescriptor(String, Observation) - Constructor for class edu.stanford.nlp.stats.StringDistributionDescriptor
 
StringLabel - class edu.stanford.nlp.trees.StringLabel.
A StringLabel object acts as a Label by containing a single String, which it sets or returns in response to requests.
StringLabel() - Constructor for class edu.stanford.nlp.trees.StringLabel
Create a new StringLabel with a null content (i.e., str).
StringLabel(Label) - Constructor for class edu.stanford.nlp.trees.StringLabel
Create a new StringLabel with the value() of another label as its label.
StringLabel(String) - Constructor for class edu.stanford.nlp.trees.StringLabel
Create a new StringLabel with the given content.
StringLabeledScoredTreeReaderFactory - class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory.
This class implements a TreeReaderFactory that produces labeled, scored array-based Trees, which have been cleaned up to delete empties, etc.
StringLabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
 
StringLabelFactory - class edu.stanford.nlp.trees.StringLabelFactory.
A StringLabelFactory object makes a simple StringLabel out of a String.
StringLabelFactory() - Constructor for class edu.stanford.nlp.trees.StringLabelFactory
 
stringListToLabelList(List) - Static method in class edu.stanford.nlp.util.KleinUtils
 
stringNums - Static variable in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
StringTagger - class edu.stanford.nlp.tagger.maxent.StringTagger.
Convenience class that takes a String input and outputs the tagged version of the String.
StringTagger(String) - Constructor for class edu.stanford.nlp.tagger.maxent.StringTagger
Constructor that loads the dictionary, so it would behoove you not to create more than one of these, and just reuse the tagString.
stringTagsAt(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
stringUToByteArr(String) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
strokeColor - Static variable in class edu.stanford.nlp.ie.pnp.ConfusionMatrixPlotter
 
structure - Variable in class edu.stanford.nlp.ie.hmm.HMM
Optional structure object to get transition and start probabilities from.
Structure - class edu.stanford.nlp.ie.hmm.Structure.
Class to model an HMM structure.
Structure() - Constructor for class edu.stanford.nlp.ie.hmm.Structure
 
Structure(double[][], int[]) - Constructor for class edu.stanford.nlp.ie.hmm.Structure
 
Structure(State[]) - Constructor for class edu.stanford.nlp.ie.hmm.Structure
 
StructureLearner - class edu.stanford.nlp.ie.hmm.StructureLearner.
A class to learn HMM structures by stochastic optimization.
StructureLearner(String[]) - Constructor for class edu.stanford.nlp.ie.hmm.StructureLearner
 
submatrix - Variable in class edu.stanford.nlp.cluster.PDDP
 
subTrees() - Method in class edu.stanford.nlp.trees.Tree
Get the set of all subtrees inside the tree by returning a tree rooted at each node.
subTrees(Set) - Method in class edu.stanford.nlp.trees.Tree
Add the set of all subtrees inside a tree to the given Set.
successorStates() - Method in class edu.stanford.nlp.fsm.DFSAState
 
SUFFIX - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
suffixes - Variable in class edu.stanford.nlp.ie.hmm.Structure
 
sum - Variable in class edu.stanford.nlp.maxent.iis.Feature
 
sum(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
sumValues() - Method in class edu.stanford.nlp.maxent.iis.Feature
 
suppressConflictPenalty(String) - Method in class edu.stanford.nlp.ie.merge.GenericMerger
Exempts a particular field from conflict penalties -- that is, when ranking a merger between two Instances, if they disagree on a particular field, a conflict penalty for that mismatch is not assessed if this method was called for that field.
sval - Variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
This field contains a string giving the characters of the word token just read.
SVD - class edu.stanford.nlp.cluster.SVD.
Takes the SVD of the feature matrix, and returns U=P(w|z), S=P(z), V=P(d|z).
SVD() - Constructor for class edu.stanford.nlp.cluster.SVD
 
SVDPlotter - class edu.stanford.nlp.util.SVDPlotter.
 
SVDPlotter(String) - Constructor for class edu.stanford.nlp.util.SVDPlotter
 
swap() - Method in class edu.stanford.nlp.mt.ProbCountHolder
 
swap() - Method in class edu.stanford.nlp.redwoods.ProbCountHolder
 
SwingWorker - class edu.stanford.nlp.util.SwingWorker.
This is the 3rd version of SwingWorker (also known as SwingWorker 3), an abstract class that you subclass to perform GUI-related work in a dedicated thread.
SwingWorker() - Constructor for class edu.stanford.nlp.util.SwingWorker
Start a thread that will call the construct method and then exit.
SwitchTo(int) - Method in class edu.stanford.nlp.annotation.HtmlLexerTokenManager
 
SwitchTo(int) - Method in class edu.stanford.nlp.ie.desc.ChunkerTokenManager
 
SymbolTable - class edu.stanford.nlp.mt.SymbolTable.
 
SymbolTable() - Constructor for class edu.stanford.nlp.mt.SymbolTable
 

T

Tag - class edu.stanford.nlp.trees.Tag.
A Tag object acts as a Label by containing a String that is a part-of-speech tag.
TAG_LABEL - Static variable in class edu.stanford.nlp.trees.AdaptiveLabelFactory
 
TAG_NO_RETURN - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
tag() - Method in class edu.stanford.nlp.trees.TaggedWord
 
tag() - Method in class edu.stanford.nlp.trees.NullLabel
 
tag() - Method in class edu.stanford.nlp.trees.Tag
 
tag() - Method in interface edu.stanford.nlp.trees.HasTag
Return the tag value of the label (or null if none).
tag() - Method in class edu.stanford.nlp.trees.CategoryWordTag
 
Tag() - Constructor for class edu.stanford.nlp.trees.Tag
Constructs a Tag object.
Tag(Label) - Constructor for class edu.stanford.nlp.trees.Tag
Creates a new tag whose tag value is the value of any class that supports the Label interface.
Tag(String) - Constructor for class edu.stanford.nlp.trees.Tag
Constructs a Tag object.
TAGGED_COMMA - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
TaggedStreamTokenizer - class edu.stanford.nlp.annotation.TaggedStreamTokenizer.
TaggedStreamTokenizer is similar to java.io.StreamTokenizer, except that it is better suited to deal with documents containing html-style tags.
TaggedStreamTokenizer(InputStream) - Constructor for class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Create a tokenizer that parses the given character stream.
TaggedStreamTokenizer(Reader) - Constructor for class edu.stanford.nlp.annotation.TaggedStreamTokenizer
Create a tokenizer that parses the given character stream.
TaggedWord - class edu.stanford.nlp.trees.TaggedWord.
A TaggedWord object contains a word and its tag.
TaggedWord() - Constructor for class edu.stanford.nlp.trees.TaggedWord
Create a new TaggedWord.
TaggedWord(Label) - Constructor for class edu.stanford.nlp.trees.TaggedWord
Create a new TaggedWord.
TaggedWord(Label, Label) - Constructor for class edu.stanford.nlp.trees.TaggedWord
Create a new TaggedWord.
TaggedWord(String) - Constructor for class edu.stanford.nlp.trees.TaggedWord
Create a new TaggedWord.
TaggedWord(String, String) - Constructor for class edu.stanford.nlp.trees.TaggedWord
Create a new TaggedWord.
TaggedWordFactory - class edu.stanford.nlp.trees.TaggedWordFactory.
A TaggedWordFactory acts as a factory for creating objects of class TaggedWord.
TaggedWordFactory() - Constructor for class edu.stanford.nlp.trees.TaggedWordFactory
Create a new TaggedWordFactory.
TaggedWordFactory(char) - Constructor for class edu.stanford.nlp.trees.TaggedWordFactory
Create a new TaggedWordFactory.
taggedYield() - Method in class edu.stanford.nlp.trees.Tree
Gets the tagged yield of the tree.
taggedYield(List) - Method in class edu.stanford.nlp.trees.Tree
Gets the tagged yield of the tree -- that is, get the preterminals as well as the terminals.
TaggerExperiments - class edu.stanford.nlp.tagger.maxent.TaggerExperiments.
This class represents the training samples.
TaggerExperiments() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
TaggerExperiments(String, String[]) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
TaggerFeature - class edu.stanford.nlp.tagger.maxent.TaggerFeature.
Holds a Tagger Feature for the loglinear model.
TaggerFeature() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
TaggerFeature(int, int, FeatureKey) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
TaggerFeatures - class edu.stanford.nlp.tagger.maxent.TaggerFeatures.
This class conatins POS tagger specific features.
TaggerFeatures() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeatures
 
TaggerOutputHolder - class edu.stanford.nlp.tagger.maxent.TaggerOutputHolder.
 
TaggerOutputHolder(boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerOutputHolder
 
TaggerOutputHolder(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerOutputHolder
 
TagInference - class edu.stanford.nlp.tagger.maxent.TagInference.
 
TagInference() - Constructor for class edu.stanford.nlp.tagger.maxent.TagInference
 
tags - Variable in class edu.stanford.nlp.ie.pcfg.TBMan
a list of the tags in all the training and testing data.
tags - Variable in class edu.stanford.nlp.ie.pcfg.ScoreMan
a list of tag names.
tags - Variable in class edu.stanford.nlp.ie.pcfg.XLabel
a list of tags contained by the phrase represented by this label
tagsAt(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
tagSentence(LambdaSolve, Sentence) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
tagSentenceTagScorer(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
tag a sentence using dan's TagScorer interface
tagSet - Variable in class edu.stanford.nlp.ie.pcfg.XTagSet
 
tagString(String) - Method in class edu.stanford.nlp.tagger.maxent.StringTagger
Tags the input string according and returns the tagged version
tagString(String) - Static method in class edu.stanford.nlp.tagger.maxent.StaticStringTagger
Tags the input string and returns the tagged version.
target - Variable in class edu.stanford.nlp.fsm.DFSATransition
 
TARGET - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
TARGET_HMM - Static variable in class edu.stanford.nlp.ie.hmm.HMM
 
target() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
targetFields - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
targetParents - Variable in class edu.stanford.nlp.ie.hmm.HMM
Shrinked emissions for union of all states of a particular type.
targets - Variable in class edu.stanford.nlp.ie.hmm.Structure
 
TargetTrainer - class edu.stanford.nlp.ie.hmm.TargetTrainer.
Trains a small target HMM on target sequences only.
TBMan - class edu.stanford.nlp.ie.pcfg.TBMan.
Treebank Manager.
TBMan(String, String, double) - Constructor for class edu.stanford.nlp.ie.pcfg.TBMan
Calls TBMan(inFN, tbFN, split, null)
TBMan(String, String, double, String) - Constructor for class edu.stanford.nlp.ie.pcfg.TBMan
constructs a new TBMan.
Tdiff - class edu.stanford.nlp.parser.Tdiff.
 
Tdiff() - Constructor for class edu.stanford.nlp.parser.Tdiff
 
TemplateHash - class edu.stanford.nlp.tagger.maxent.TemplateHash.
 
TemplateHash() - Constructor for class edu.stanford.nlp.tagger.maxent.TemplateHash
 
Test - class edu.stanford.nlp.tagger.maxent.Test.
This class is used to run the learned POS tagging model over test data.
test() - Method in class edu.stanford.nlp.classify.Tester
Classifies each instance of the test data and stores statistics about what went right and what went wrong.
test() - Method in class edu.stanford.nlp.cluster.LSSA
 
test() - Method in class edu.stanford.nlp.tagger.maxent.TestForwardsBackWards
 
Test() - Constructor for class edu.stanford.nlp.tagger.maxent.Test
 
test(ArrayList) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
these trees are all for one sentence the tester chooses one of them as correct returns 1/numtied is a tie for first place and correct, ow 0
test(Corpus) - Method in class edu.stanford.nlp.ie.hmm.HMMTester
Returns test(testDocs,false,false).
test(Corpus, boolean, boolean) - Method in class edu.stanford.nlp.ie.hmm.HMMTester
Returns the F1 measure for the HMM on the given corpus.
test(int, String) - Method in class edu.stanford.nlp.tagger.maxent.TestClassifier
 
test(String) - Method in class edu.stanford.nlp.ie.pnp.PnpClassifier
Runs the classifier on each line in the given test file and prints out the category with the highest score.
test(String) - Method in class edu.stanford.nlp.ie.pcfg.PNPC
Runs the classifier on each line in the given test file and prints out the category with the highest score.
test(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolver
This file is supposed to be in Weka format The class attribute might be missing
test(String) - Method in class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
This file is supposed to be in Weka format The class attribute might be missing
test(String) - Method in class edu.stanford.nlp.maxent.iis.ProblemSolverHPSG
This file is supposed to be in Weka format The class attribute might be missing
test(String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
test(String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
test(String) - Method in class edu.stanford.nlp.tagger.maxent.TestClassifier
Test on a file containing correct tags already
Test(TBMan, IEMan, ScoreMan, List, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.Tester
 
test1(PrintFile, Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
test1(PrintFile, Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestClassifier - class edu.stanford.nlp.tagger.maxent.TestClassifier.
 
TestClassifier(String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
 
Tester - class edu.stanford.nlp.classify.Tester.
Builds a FeatureSet for the files in the directory "parent_dir" and attempts to classify them using the ProbabilitySet my_ps that was created during training.
Tester - class edu.stanford.nlp.ie.hmm.Tester.
Test a trained, serialized HMM on a (tagged) testing file.
Tester - class edu.stanford.nlp.ie.pcfg.Tester.
Tests IE performance.
Tester() - Constructor for class edu.stanford.nlp.ie.pcfg.Tester
 
Tester(String, ProbabilitySet, String[], Vector) - Constructor for class edu.stanford.nlp.classify.Tester
Constructor: takes the parent directory of where the data is stored, a (smoothed) ProbabilitySet created during training, the parts of speech that should be filtered in, and a Vector of the filters that will be applied.
TestForwardsBackWards - class edu.stanford.nlp.tagger.maxent.TestForwardsBackWards.
 
TestForwardsBackWards(String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestForwardsBackWards
 
testmatrix - Variable in class edu.stanford.nlp.classify.AbstractClassifier
 
testModel(String, String, String, String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
Test this file with the model saved in fileModel.holder.
TestScriptGenerator - class edu.stanford.nlp.ie.pnp.TestScriptGenerator.
Generates a shell script file to run batch tests for PnpClassifier.
TestScriptGenerator(String, String) - Constructor for class edu.stanford.nlp.ie.pnp.TestScriptGenerator
Constructs a new TestScriptGenerator to write a shell script to the given outdir to test the given testdir.
TestSentence - class edu.stanford.nlp.tagger.maxent.TestSentence.
 
TestSentence() - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String[], String[], PrintFile, Dictionary) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String[], String[], String[], PrintFile, Dictionary) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String, PrintFile) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentenceTagged - class edu.stanford.nlp.tagger.maxent.TestSentenceTagged.
 
TestSentenceTagged() - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
TestSentenceTagged(LambdaSolve, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
TestSentenceTagged(LambdaSolve, String[], String[], String[], PrintFile, Dictionary) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
testSet - Variable in class edu.stanford.nlp.ie.pcfg.PreTBMan
 
testTagInference(PrintFile, Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
test using TagInference
text - Variable in class edu.stanford.nlp.ie.pnp.DataGenerator.Example
text for this example.
text() - Method in class edu.stanford.nlp.dbm.MedlineDocument
Returns text of document.
text() - Method in class edu.stanford.nlp.dbm.Context
Returns text of document
textBuffer - Variable in class edu.stanford.nlp.web.HTMLParser
 
tf - Variable in class edu.stanford.nlp.trees.TreeJugglers.StringLabelTreeToCategoryWordTagTreeAppliable
 
tfidf() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
 
thirdTaggerOutput - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
THREE - Static variable in class edu.stanford.nlp.util.Dbg
 
TIME - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
Timing - class edu.stanford.nlp.util.Timing.
A tiny class for measuring how long things take
TIMING - Static variable in class edu.stanford.nlp.util.Dbg
 
Timing() - Constructor for class edu.stanford.nlp.util.Timing
 
title - Variable in class edu.stanford.nlp.dbm.BasicDocument
title of this document (never null).
title - Variable in class edu.stanford.nlp.web.HTMLParser
 
title() - Method in class edu.stanford.nlp.dbm.USPDIDocument
 
title() - Method in class edu.stanford.nlp.dbm.MedlineDocument
Returns title of document.
title() - Method in class edu.stanford.nlp.dbm.Context
returns first word on line
title() - Method in interface edu.stanford.nlp.dbm.Document
Returns title of document, or "" if the document has no title.
title() - Method in class edu.stanford.nlp.dbm.BasicDocument
Returns the title of this document.
title() - Method in class edu.stanford.nlp.web.HTMLParser
 
tmpPair - Variable in class edu.stanford.nlp.mt.TPHandlerNM
 
tmpPair - Variable in class edu.stanford.nlp.mt.TPHandler
 
toDenseString() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
Returns a dense string representation of matrix.
toDenseString() - Method in interface edu.stanford.nlp.linalg.Matrix
Returns a dense string representation of matrix.
toDouble(Double) - Static method in class edu.stanford.nlp.util.KleinUtils
 
toDouble(Double, double) - Static method in class edu.stanford.nlp.util.KleinUtils
 
toDoubleMatrix1D() - Method in class edu.stanford.nlp.linalg.ColtSparseDoubleArray
 
toDoubleMatrix2D() - Method in class edu.stanford.nlp.linalg.ColtSparseMatrix
 
toDoubleMatrix2D() - Method in class edu.stanford.nlp.linalg.ColtDenseMatrix
 
toFeatureSet() - Method in class edu.stanford.nlp.classify.ClassProbability
This method converts this ClassProbability to a FeatureSet, which is used for CrossValidation.
token - Variable in class edu.stanford.nlp.annotation.HtmlLexer
 
token - Variable in class edu.stanford.nlp.ie.desc.Chunker
 
Token - class edu.stanford.nlp.annotation.Token.
Describes the input token stream.
Token - class edu.stanford.nlp.ie.desc.Token.
Describes the input token stream.
token_source - Variable in class edu.stanford.nlp.annotation.HtmlLexer
 
token_source - Variable in class edu.stanford.nlp.ie.desc.Chunker
 
Token() - Constructor for class edu.stanford.nlp.annotation.Token
 
Token() - Constructor for class edu.stanford.nlp.ie.desc.Token
 
TokenBreaker - class edu.stanford.nlp.classify.TokenBreaker.
Title: Naive Bayes Classifier Description: Puts a space between all tokens Copyright: Copyright (c) 2001 Company:
TokenBreaker(String) - Constructor for class edu.stanford.nlp.classify.TokenBreaker
 
tokenImage - Variable in class edu.stanford.nlp.annotation.ParseException
This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenImage - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
tokenImage - Variable in class edu.stanford.nlp.ie.desc.ParseException
This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenImage - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
tokenize() - Method in class edu.stanford.nlp.classify.TokenBreaker
 
tokenize(InputStream) - Method in class edu.stanford.nlp.process.SimpleTokenizer
Throws HeadlessException
tokenize(InputStream) - Method in interface edu.stanford.nlp.process.Tokenizer
Returns text as a Collection of Words
tokenize(InputStream) - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns text as a Collection of Words
tokenize(Reader) - Method in class edu.stanford.nlp.process.SimpleTokenizer
Throws HeadlessException
tokenize(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer
 
tokenize(Reader) - Method in interface edu.stanford.nlp.process.Tokenizer
Returns text as a Collection of Words
tokenize(Reader) - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns text as a Collection of Words
tokenize(String) - Method in class edu.stanford.nlp.process.SimpleTokenizer
Returns text as a Collection of Words.
tokenize(String) - Method in interface edu.stanford.nlp.process.Tokenizer
Returns text as a Collection of Words.
tokenize(String) - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns text as a Collection of Words.
Tokenizer - interface edu.stanford.nlp.process.Tokenizer.
A tokenizer has methods for tokenizing a String, Reader, or InputStream as words.
TokenMgrError - error edu.stanford.nlp.annotation.TokenMgrError.
 
TokenMgrError - error edu.stanford.nlp.ie.desc.TokenMgrError.
 
TokenMgrError() - Constructor for class edu.stanford.nlp.annotation.TokenMgrError
 
TokenMgrError() - Constructor for class edu.stanford.nlp.ie.desc.TokenMgrError
 
TokenMgrError(boolean, int, int, int, String, char, int) - Constructor for class edu.stanford.nlp.annotation.TokenMgrError
 
TokenMgrError(boolean, int, int, int, String, char, int) - Constructor for class edu.stanford.nlp.ie.desc.TokenMgrError
 
TokenMgrError(String, int) - Constructor for class edu.stanford.nlp.annotation.TokenMgrError
 
TokenMgrError(String, int) - Constructor for class edu.stanford.nlp.ie.desc.TokenMgrError
 
TokenReader - interface edu.stanford.nlp.classify.TokenReader.
Title: Naive Bayes Classifier Description: An interface for converting something into a continuous string Copyright: Copyright (c) 2001 Company:
toLabelVector(Labeled) - Method in class edu.stanford.nlp.dbm.LabelMatrix
inserts a Labeled object into the LabelMatrix, and returns the inserted LabelVector
toListOver(List) - Method in class edu.stanford.nlp.stats.HashObservation
Transforms the observation into a List of values.
toLogSpace() - Method in class edu.stanford.nlp.linalg.AbstractArray
 
toLogSpace() - Method in interface edu.stanford.nlp.linalg.Array
Transforms the array to log space.
toMatlabSparseString() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
returns sparse string representation of matrix, in Matlab-readable format, ensuring that the first matrix entry is [1,1,value] rather than [0,0,value] i.e.
toMatlabSparseString() - Method in interface edu.stanford.nlp.linalg.Matrix
returns sparse string representation of matrix, in Matlab-readable format, ensuring that the first matrix entry is [1,1,value] rather than [0,0,value] i.e.
toNameString() - Method in class edu.stanford.nlp.mt.Word
 
toNameString(int) - Method in class edu.stanford.nlp.mt.IntTuple
 
toNameStringE() - Method in class edu.stanford.nlp.mt.IntTriple
 
toNameStringE() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
toNameStringE() - Method in class edu.stanford.nlp.mt.IntPair
 
toNameStringE() - Method in class edu.stanford.nlp.mt.WordEx
 
toNameStringE() - Method in class edu.stanford.nlp.mt.IntTuple
 
toNameStringF() - Method in class edu.stanford.nlp.mt.IntTriple
 
toNameStringF() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
toNameStringF() - Method in class edu.stanford.nlp.mt.IntPair
 
toNameStringF() - Method in class edu.stanford.nlp.mt.WordEx
 
toNameStringF() - Method in class edu.stanford.nlp.mt.IntTuple
 
toNice(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
toNice(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
TOP_DOWN - Static variable in class edu.stanford.nlp.parser.oldparser.ChartParser
Argument to constructor: parse top down
TopBeam - class edu.stanford.nlp.util.TopBeam.
??
TopBeam() - Constructor for class edu.stanford.nlp.util.TopBeam
 
TopBeam(int) - Constructor for class edu.stanford.nlp.util.TopBeam
 
TopBeam(int, Comparator) - Constructor for class edu.stanford.nlp.util.TopBeam
 
TopMistagged - class edu.stanford.nlp.tagger.maxent.TopMistagged.
 
TopMistagged(String) - Constructor for class edu.stanford.nlp.tagger.maxent.TopMistagged
 
toSentenceString(Sentence) - Method in class edu.stanford.nlp.trees.Constituent
Print out as a string the subpart of a sentence covered by this Constituent.
toSparseString() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
returns sparse string representation of matrix num_rows num_columns cardinality row column value row column value ...
toSparseString() - Method in interface edu.stanford.nlp.linalg.Matrix
returns sparse string representation of matrix num_rows num_columns num_nonzero_entries row column value row column value ...
toSt(String, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
toSt(String, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
toString() - Method in class edu.stanford.nlp.annotation.Token
Returns the image.
toString() - Method in class edu.stanford.nlp.classify.ID
 
toString() - Method in class edu.stanford.nlp.classify.Feature
Used to print a Feature.
toString() - Method in class edu.stanford.nlp.classify.ClassProbability
When you print this Classification probability using System&.out&.println, it simply prints the id and the prior.
toString() - Method in interface edu.stanford.nlp.cluster.ClusteringMethod
Returns String representation of Clustering Method, including clusters returned by clustering method
toString() - Method in class edu.stanford.nlp.cluster.AbstractClusteringMethod
 
toString() - Method in class edu.stanford.nlp.database.SLJDB
Returns String representation of database in the form below.
toString() - Method in class edu.stanford.nlp.database.HashDB
 
toString() - Method in class edu.stanford.nlp.database.DummyDB
Returns String representation of database.
toString() - Method in interface edu.stanford.nlp.database.SimpleDatabase
Returns String representation of database.
toString() - Method in class edu.stanford.nlp.dbm.AbstractDataCollection
 
toString() - Method in interface edu.stanford.nlp.dbm.DataCollection
returns a String representation of DBM
toString() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
toString() - Method in class edu.stanford.nlp.fsm.DFSAState
 
toString() - Method in class edu.stanford.nlp.ie.desc.Token
Returns the image.
toString() - Method in class edu.stanford.nlp.ie.AbstractFieldExtractor
Returns the value of getDescription() as the String representation of this Object.
toString() - Method in class edu.stanford.nlp.ie.hmm.TypedTaggedWord
Returns a String representing this TypedTaggedWord of the form "word/tag (type)".
toString() - Method in class edu.stanford.nlp.ie.hmm.Structure
 
toString() - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
toString() - Method in class edu.stanford.nlp.ie.hmm.State
 
toString() - Method in class edu.stanford.nlp.ie.hmm.HMM
Print out a representation of the HMM.
toString() - Method in class edu.stanford.nlp.ie.hmm.AnswerChecker.Range
Returns a string reprsentation of this Range, indicating the from and to.
toString() - Method in class edu.stanford.nlp.ie.pcfg.Score
 
toString() - Method in class edu.stanford.nlp.ie.pcfg.LookupRule
 
toString() - Method in class edu.stanford.nlp.ie.pcfg.XLabel
Gets a string representation of the label.
toString() - Method in class edu.stanford.nlp.ie.pcfg.XRule
produces full string representation of XRule.
toString() - Method in class edu.stanford.nlp.lexgram.SimpleRule
 
toString() - Method in class edu.stanford.nlp.lexgram.SimpleLexicon
 
toString() - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
toString() - Method in class edu.stanford.nlp.linalg.AbstractArray
 
toString() - Method in class edu.stanford.nlp.linalg.AbstractMatrix
returns bracket-delimited entrySet String representation of Matrix [[[row,column,value], [row,column,value]], [[row,column,value]...]
toString() - Method in class edu.stanford.nlp.linalg.Entry
 
toString() - Method in interface edu.stanford.nlp.linalg.Array
Returns String representation of Array
toString() - Method in interface edu.stanford.nlp.linalg.Matrix
returns bracket-delimited entrySet String representation of Matrix [[[row,column,value], [row,column,value]], [[row,column,value]...]
toString() - Method in class edu.stanford.nlp.math.ScientificNotationDouble
 
toString() - Method in class edu.stanford.nlp.maxent.iis.Experiments
 
toString() - Method in class edu.stanford.nlp.mt.IntTriple
 
toString() - Method in class edu.stanford.nlp.mt.IntQuadruple
 
toString() - Method in class edu.stanford.nlp.mt.IntPair
 
toString() - Method in class edu.stanford.nlp.mt.Word
 
toString() - Method in class edu.stanford.nlp.parser.oldparser.Traversal
 
toString() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
toString() - Method in class edu.stanford.nlp.process.Stemmer
After a word has been stemmed, it can be retrieved by toString(), or a reference to the internal buffer can be retrieved by getResultBuffer and getResultLength (which is generally more efficient.)
toString() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns a String representation of this PrecisionRecallStats, indicating the number of tp, fp, fn counts.
toString() - Method in class edu.stanford.nlp.stats.HashObservation
 
toString() - Method in class edu.stanford.nlp.stats.AbstractDistribution
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
toString() - Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
toString() - Method in class edu.stanford.nlp.trees.TaggedWord
 
toString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Convert tree leaf to its label's string.
toString() - Method in class edu.stanford.nlp.trees.Treebank
Return the whole treebank as a series of big bracketed lists.
toString() - Method in class edu.stanford.nlp.trees.Sentencebank
Return the whole treebank as a series of big bracketed lists.
toString() - Method in class edu.stanford.nlp.trees.CategoryWordTag
Returns a String representation of the label.
toString() - Method in class edu.stanford.nlp.trees.SentenceReader
Returns a representation of the SentenceReader object.
toString() - Method in class edu.stanford.nlp.trees.AbstractLabel
Return a string representation of the label.
toString() - Method in class edu.stanford.nlp.trees.Sentence
Returns the sentence as a string with a space between words.
toString() - Method in class edu.stanford.nlp.trees.Constituent
Return a string representation of a Constituent.
toString() - Method in class edu.stanford.nlp.trees.Tree
Converts parse tree to string in Penn Treebank format.
toString() - Method in interface edu.stanford.nlp.trees.Label
Return a String representation of the label.
toString() - Method in class edu.stanford.nlp.util.UnorderedPair
 
toString() - Method in class edu.stanford.nlp.util.ScoredPair
 
toString() - Method in class edu.stanford.nlp.util.ScoredObject
 
toString() - Method in class edu.stanford.nlp.util.Counter
 
toString() - Method in class edu.stanford.nlp.util.Numberer
 
toString() - Method in class edu.stanford.nlp.util.Pair
 
toString(boolean) - Method in class edu.stanford.nlp.ie.pcfg.XRule
XRules have the following string format: "LHS -> RHS %% p".
toString(boolean) - Method in class edu.stanford.nlp.trees.Sentence
Returns the sentence as a string with a space between words.
toString(boolean, boolean) - Method in class edu.stanford.nlp.ie.pcfg.XLabel
Gets a string representation of the label.
toString(boolean, boolean) - Method in class edu.stanford.nlp.ie.pcfg.XRule
XRules have the following string format: "LHS -> RHS %% p".
toString(boolean, boolean, boolean) - Method in class edu.stanford.nlp.ie.pcfg.XRule
XRules have the following string format: "LHS -> RHS %% p".
toString(DataCollection) - Method in class edu.stanford.nlp.cluster.HiddenState
 
toString(DataCollection) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
toString(DataCollection) - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Returns String representation of Clusters
toString(DataCollection) - Method in interface edu.stanford.nlp.cluster.Cluster
Returns String representation of Cluster prints default number of features and data.
toString(DataCollection) - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Returns String representation of Clusters
toString(int, int, DataCollection) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
toString(int, int, DataCollection) - Method in interface edu.stanford.nlp.cluster.Cluster
Returns String representation of Cluster
toStringBuffer(StringBuffer) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Appends the printed form of a parse tree (as a bracketed String) to a StringBuffer.
toStringBuffer(StringBuffer) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Appends the printed form of a parse tree (as a bracketed String) to a StringBuffer.
toStringBuffer(StringBuffer) - Method in class edu.stanford.nlp.trees.Tree
Appends the printed form of a parse tree (as a bracketed String) to a StringBuffer.
total() - Method in class edu.stanford.nlp.util.Counter
Returns total count for all objects in Counter
total() - Method in class edu.stanford.nlp.util.Numberer
 
toVerboseString() - Method in class edu.stanford.nlp.database.HashDB
 
toVerboseString() - Method in class edu.stanford.nlp.database.DummyDB
Returns Verbose String representation of database that enumerates the contents of the database
toVerboseString() - Method in interface edu.stanford.nlp.database.SimpleDatabase
Returns Verbose String representation of database that enumerates the contents of the database
toVerboseString() - Method in class edu.stanford.nlp.database.AbstractSimpleDatabase
 
toVerboseXMLString() - Method in class edu.stanford.nlp.database.HashDB
 
toVerboseXMLString() - Method in class edu.stanford.nlp.database.DummyDB
Returns a verbose XML reprentation of database that enumerates the contents of the database
toVerboseXMLString() - Method in interface edu.stanford.nlp.database.SimpleDatabase
Returns a verbose XML reprentation of database that enumerates the contents of the database
toVerboseXMLString() - Method in class edu.stanford.nlp.database.AbstractSimpleDatabase
 
toWord(Word) - Static method in class edu.stanford.nlp.util.KleinUtils
 
toXMLString() - Method in interface edu.stanford.nlp.cluster.ClusteringMethod
Returns XML String representation of Clustering Method, including clusters returned by clustering method
toXMLString() - Method in class edu.stanford.nlp.cluster.AbstractClusteringMethod
 
toXMLString() - Method in class edu.stanford.nlp.database.SLJDB
 
toXMLString() - Method in class edu.stanford.nlp.database.HashDB
 
toXMLString() - Method in class edu.stanford.nlp.database.DummyDB
Returns an XML representation of database.
toXMLString() - Method in interface edu.stanford.nlp.database.SimpleDatabase
Returns an XML representation of database.
toXMLString() - Method in class edu.stanford.nlp.dbm.AbstractDataCollection
returns an XML String representation of DataCollection
toXMLString(DataCollection) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
toXMLString(DataCollection) - Method in class edu.stanford.nlp.cluster.AbstractSimpleClusters
Returns XML String representation of Clusters
toXMLString(DataCollection) - Method in interface edu.stanford.nlp.cluster.Cluster
Returns XML String representation of Cluster prints default number of features and data.
toXMLString(DataCollection) - Method in interface edu.stanford.nlp.cluster.SimpleClusters
Returns XML String representation of Clusters
toXMLString(int, int, DataCollection) - Method in class edu.stanford.nlp.cluster.HiddenState
 
toXMLString(int, int, DataCollection) - Method in class edu.stanford.nlp.cluster.SimpleCluster
 
toXMLString(int, int, DataCollection) - Method in interface edu.stanford.nlp.cluster.Cluster
Returns XML String representation of Cluster
tpCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats
Count of true positives.
TPHandler - class edu.stanford.nlp.mt.TPHandler.
Writing separate classes to handle the translation probabilities with or without tags; these classes take care of the caching and reduce the mess in the em_loops in the models.
TPHandler() - Constructor for class edu.stanford.nlp.mt.TPHandler
 
TPHandler(TTable) - Constructor for class edu.stanford.nlp.mt.TPHandler
 
TPHandlerEtags - class edu.stanford.nlp.mt.TPHandlerEtags.
 
TPHandlerEtags(TTable) - Constructor for class edu.stanford.nlp.mt.TPHandlerEtags
 
TPHandlerFE1 - class edu.stanford.nlp.mt.TPHandlerFE1.
This handles the translation probability for the model p(fj,tfj|aj,e,te)=p(tfj|teaj)p(fj|eaj,[teaj,tfj])
TPHandlerFE1(TTable) - Constructor for class edu.stanford.nlp.mt.TPHandlerFE1
 
TPHandlerNM - class edu.stanford.nlp.mt.TPHandlerNM.
This is for use in the model with special null treatment p(fj|null,alignment)=alfa*p(fj|fj+1) +(1-alfa)*p(fj|NULL)
TPHandlerNM() - Constructor for class edu.stanford.nlp.mt.TPHandlerNM
 
TPHandlerNM(TTable) - Constructor for class edu.stanford.nlp.mt.TPHandlerNM
 
TPHandlerNULL - class edu.stanford.nlp.mt.TPHandlerNULL.
getProb(i,j) = p(fj|ei) if i not eq 0 and else p(fj|fj-1)
TPHandlerNULL(TTable, TTable, int) - Constructor for class edu.stanford.nlp.mt.TPHandlerNULL
 
Train - class edu.stanford.nlp.tagger.maxent.Train.
This class is used to train a POS tagger.
train_test_loop(int) - Method in class edu.stanford.nlp.mt.Model1
 
train_test_loop(int, int) - Method in class edu.stanford.nlp.mt.HMM
 
train() - Method in class edu.stanford.nlp.classify.Trainer
Creates and smooths a ProbabilitySet.
train() - Method in class edu.stanford.nlp.ie.hmm.HMM
Calls train(true).
train(boolean) - Method in class edu.stanford.nlp.ie.hmm.HMM
Trains using Baum-Welch estimation with the training data.
train(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Train a tagger using a training corpus stored in filename.
train(String[]) - Static method in class edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor
Train an HMM and write to serialized HMMSingleFieldExtractor
trainClassifier(double[][], int[]) - Method in interface edu.stanford.nlp.classification.internal.IClassifierFactory
Takes a training set in the form of a 2D double array (data x features) and labels in the form of a 1D int array (data) and produces a classifier over the same space.
trainDocs - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
Trainer - class edu.stanford.nlp.classify.Trainer.
Builds a ProbabilitySet for the classes in String[] my_dirnames and smooths that ProbabilitySet.
Trainer - class edu.stanford.nlp.ie.hmm.Trainer.
Trains HMM and saves it as a serialized object.
Trainer(String[], int, String[], Vector) - Constructor for class edu.stanford.nlp.classify.Trainer
Constructor: my_dirnames is the names of the directories where the training documents are held
trainlabels - Variable in class edu.stanford.nlp.classify.AbstractClassifier
 
trainmatrix - Variable in class edu.stanford.nlp.classify.AbstractClassifier
 
trainSet - Variable in class edu.stanford.nlp.ie.pcfg.PreTBMan
 
transform(String) - Static method in class edu.stanford.nlp.cluster.ClusterTransform
Transforms XML Clusters file filename into an HTML Clusters file
transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Tree
Create a transformed Tree.
transform(TreeTransformer, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Create a transformed Tree.
transformTree(Tree, TreeFactory) - Method in interface edu.stanford.nlp.trees.TreeTransformer
Does whatever one needs to do to a particular tree.
transition - Variable in class edu.stanford.nlp.ie.hmm.State
 
transition(Object) - Method in class edu.stanford.nlp.fsm.DFSAState
 
transitions - Variable in class edu.stanford.nlp.ie.hmm.Structure
 
transitions() - Method in class edu.stanford.nlp.fsm.DFSAState
 
translate(String, String, int) - Static method in class edu.stanford.nlp.util.Numberer
 
Traversal - class edu.stanford.nlp.parser.oldparser.Traversal.
Traversal
Tree - class edu.stanford.nlp.trees.Tree.
The abstract class Tree is used to collect all of the tree types, and acts as a generic composite type.
Tree() - Constructor for class edu.stanford.nlp.trees.Tree
 
Treebank - class edu.stanford.nlp.trees.Treebank.
A Treebank object provides access to a corpus of examples with given tree structures.
Treebank() - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank (using a SimpleTreeReaderFactory).
Treebank(int) - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank.
Treebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank.
Treebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank.
TreebankTaggerTester - class edu.stanford.nlp.tagger.TreebankTaggerTester.
Tags text using Kristina's tagger and tests results from the Penn Treebank.
TreeFactory - interface edu.stanford.nlp.trees.TreeFactory.
A TreeFactory acts as a factory for creating objects of class Tree, or some descendent class.
treeFactory() - Method in class edu.stanford.nlp.trees.SimpleTree
Return a TreeFactory that produces trees of the SimpleTree type.
treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the same type as the current Tree.
treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Return a TreeFactory that produces trees of the same type as the current Tree.
treeFactory() - Method in class edu.stanford.nlp.trees.Tree
Return a TreeFactory that produces trees of the appropriate type.
TreeJugglers - class edu.stanford.nlp.trees.TreeJugglers.
 
TreeJugglers.StringLabelTreeToCategoryWordTagTreeAppliable - class edu.stanford.nlp.trees.TreeJugglers.StringLabelTreeToCategoryWordTagTreeAppliable.
 
TreeJugglers.StringLabelTreeToCategoryWordTagTreeAppliable() - Constructor for class edu.stanford.nlp.trees.TreeJugglers.StringLabelTreeToCategoryWordTagTreeAppliable
 
TreeJugglers() - Constructor for class edu.stanford.nlp.trees.TreeJugglers
 
treeListToLabelList(List) - Static method in class edu.stanford.nlp.util.KleinUtils
 
TreeNormalizer - class edu.stanford.nlp.trees.TreeNormalizer.
A class for tree normalization.
TreeNormalizer() - Constructor for class edu.stanford.nlp.trees.TreeNormalizer
 
TreeNormalizers - class edu.stanford.nlp.trees.TreeNormalizers.
 
TreeProcessor - interface edu.stanford.nlp.trees.TreeProcessor.
This is a simple interface for operations that are going to be applied to a Tree.
TreeReader - class edu.stanford.nlp.trees.TreeReader.
A TreeReader adds functionality to another Reader by reading in Trees, or some descendant class.
TreeReader(Reader) - Constructor for class edu.stanford.nlp.trees.TreeReader
Read parse trees from a Reader.
TreeReader(Reader, TreeFactory) - Constructor for class edu.stanford.nlp.trees.TreeReader
Read parse trees from a Reader
TreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.TreeReader
Read parse trees from a Reader
TreeReader(Reader, TreeFactory, TreeNormalizer, StreamTokenizer) - Constructor for class edu.stanford.nlp.trees.TreeReader
Read parse trees from a stream
TreeReaderFactory - interface edu.stanford.nlp.trees.TreeReaderFactory.
A TreeReaderFactory is a factory for creating objects of class TreeReader, or some descendent class.
treeReaderFactory() - Method in class edu.stanford.nlp.trees.Treebank
Get the TreeReaderFactory for a Treebank -- this method is provided in order to make the TreeReaderFactory available to subclasses.
TreeTransformer - interface edu.stanford.nlp.trees.TreeTransformer.
This is a simple interface for a function that alters a local Tree.
TreeUtil - class edu.stanford.nlp.ie.pcfg.TreeUtil.
This class contains many utility functions for performing common tree operations.
TreeUtil() - Constructor for class edu.stanford.nlp.ie.pcfg.TreeUtil
 
TT_BACKGROUND_HTML - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that a non-target-tag html token has been read that is outside the scope of any active tags
TT_BACKGROUND_INACTIVE_TAG - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that an inactive target tag has been read that is outside the scope of any active target tags
TT_BACKGROUND_WORD - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that a word token has been read that is outside the scope of any active tags
TT_BAD_SOCKET - Static variable in class edu.stanford.nlp.web.WebSearch
A constant indicating that there was a socket or other connection error that caused one or more searches to fail.
TT_EOF - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that the end of the stream has been read
TT_SEARCH_ERRORS - Static variable in class edu.stanford.nlp.web.WebSearch
A constant indicating that there was a server problem with at least one of the search sites.
TT_SEARCH_OK - Static variable in class edu.stanford.nlp.web.WebSearch
A constant indicating that the search function successfully connected with every search site
TT_TARGET_HTML - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that a non-target-tag html token has been read that is within the scope of an active tag
TT_TARGET_INACTIVE_TAG - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that an inactive target tag has been read that is within the scope of an active tag
TT_TARGET_TAG - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that an active start target tag has been read
TT_TARGET_TAG_END - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that an active end target tag has been read
TT_TARGET_WORD - Static variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
A constant indicating that a word token has been read that is within the scope of an active tag
TTable - class edu.stanford.nlp.mt.TTable.
 
TTable(boolean) - Constructor for class edu.stanford.nlp.mt.TTable
 
TTags - class edu.stanford.nlp.tagger.maxent.TTags.
This class holds the POS tags, assigns them unique Id-s, knows which tags are open versus closed class, etc.
TTags() - Constructor for class edu.stanford.nlp.tagger.maxent.TTags
 
ttype - Variable in class edu.stanford.nlp.annotation.TaggedStreamTokenizer
After a call to the nextToken method, this field contains the type of the token just read.
TupleCounter - class edu.stanford.nlp.mt.TupleCounter.
 
TupleCounter() - Constructor for class edu.stanford.nlp.mt.TupleCounter
 
TWO - Static variable in class edu.stanford.nlp.util.Dbg
 
type - Variable in class edu.stanford.nlp.ie.hmm.State
An integer type for a state, giving equivalence classes of states.
type - Variable in class edu.stanford.nlp.ie.pcfg.XLabel
label type.
type() - Method in class edu.stanford.nlp.ie.hmm.TypedTaggedWord
 
type() - Method in interface edu.stanford.nlp.ie.hmm.HasType
Return the type value of the label (or null if none).
typeCheck(Rule) - Method in class edu.stanford.nlp.lexgram.SimpleGrammar
 
typeCheck(Rule) - Method in class edu.stanford.nlp.lexgram.DFSAGrammar
 
TypedTaggedDocument - class edu.stanford.nlp.ie.hmm.TypedTaggedDocument.
Document whose words are TypedTaggedWord objects.
TypedTaggedDocument() - Constructor for class edu.stanford.nlp.ie.hmm.TypedTaggedDocument
 
TypedTaggedWord - class edu.stanford.nlp.ie.hmm.TypedTaggedWord.
A TypedTaggedWord object contains a word, it's tag, and it's type.
TypedTaggedWord() - Constructor for class edu.stanford.nlp.ie.hmm.TypedTaggedWord
 
TypedTaggedWord(Label) - Constructor for class edu.stanford.nlp.ie.hmm.TypedTaggedWord
 
TypedTaggedWord(String) - Constructor for class edu.stanford.nlp.ie.hmm.TypedTaggedWord
 
TypedTaggedWord(String, int) - Constructor for class edu.stanford.nlp.ie.hmm.TypedTaggedWord
 
TypedTaggedWord(String, String, int) - Constructor for class edu.stanford.nlp.ie.hmm.TypedTaggedWord
 

U

uniform - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
union(Object, Object) - Method in class edu.stanford.nlp.util.FastDisjointSet
 
union(Object, Object) - Method in interface edu.stanford.nlp.util.DisjointSet
 
unite(int[], int[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentenceTagged
 
unite(int[], int[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
UnorderedPair - class edu.stanford.nlp.util.UnorderedPair.
Unordered Pair Class for holding an unordered pair of objects
UnorderedPair() - Constructor for class edu.stanford.nlp.util.UnorderedPair
 
UnorderedPair(Object, Object) - Constructor for class edu.stanford.nlp.util.UnorderedPair
 
UnscoredMerger - class edu.stanford.nlp.ie.merge.UnscoredMerger.
Merger that handles extractors that don't rank confidences
UnscoredMerger() - Constructor for class edu.stanford.nlp.ie.merge.UnscoredMerger
 
UnscoredMergerCreator - class edu.stanford.nlp.ie.merge.UnscoredMergerCreator.
Creates and serializes an UnscoredMerger object.
UnscoredMergerCreator() - Constructor for class edu.stanford.nlp.ie.merge.UnscoredMergerCreator
 
unweightedMinimize(DFSA) - Static method in class edu.stanford.nlp.fsm.DFSAMinimizer
 
update() - Method in class edu.stanford.nlp.tagger.maxent.ReadData
 
update(boolean, int, int) - Method in class edu.stanford.nlp.classify.MassVerifier
Updates the statistics with a new instance.
update(double, int) - Method in class edu.stanford.nlp.classify.Classification
 
updateHistory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
USPDI - class edu.stanford.nlp.dbm.USPDI.
A DataCollection where each Data Item is a LocusLink document about a gene.
USPDI() - Constructor for class edu.stanford.nlp.dbm.USPDI
Creates an empty LocusLink document collection
USPDI(ArrayList) - Constructor for class edu.stanford.nlp.dbm.USPDI
Creates a USPDI document collection given an ArrayList of drug names
USPDIDocument - class edu.stanford.nlp.dbm.USPDIDocument.
A USPDIDocument is the relevant contents of a query on USP DI Drug Database for the drug given by drugName.
USPDIDocument(String) - Constructor for class edu.stanford.nlp.dbm.USPDIDocument
 
USPDIParser - class edu.stanford.nlp.web.USPDIParser.
A Parser whose parse method returns the relevant contents of a query on USP DI Drug Database for the drug given by drugName.
USPDIParser() - Constructor for class edu.stanford.nlp.web.USPDIParser
 
uStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
uStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
uStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
Util - class edu.stanford.nlp.ie.pcfg.Util.
Provides basic utility operations
Util() - Constructor for class edu.stanford.nlp.ie.pcfg.Util
 

V

validate() - Method in class edu.stanford.nlp.classify.CrossValidator
This method performs cross validation according to the parameters passed in to the constructor.
value - Variable in class edu.stanford.nlp.classify.Node
 
value() - Method in class edu.stanford.nlp.linalg.Entry
returns M(i,j)
value() - Method in class edu.stanford.nlp.trees.AbstractLabel
Return the value of the label (or null if none).
value() - Method in class edu.stanford.nlp.trees.StringLabel
Return the word value of the label (or null if none).
value() - Method in class edu.stanford.nlp.trees.Constituent
Return the value of the label (or null if none).
value() - Method in interface edu.stanford.nlp.trees.Label
Return a String representation of just the "main" value of this label.
value(String) - Method in class edu.stanford.nlp.stats.StringDistributionDescriptor
 
value(String) - Method in class edu.stanford.nlp.stats.HashObservation
Gets the value of a given RandomVariable.
value(String) - Method in interface edu.stanford.nlp.stats.MeasureDescriptor
 
value(String) - Method in interface edu.stanford.nlp.stats.DistributionDescriptor
 
value(String) - Method in interface edu.stanford.nlp.stats.Observation
 
valueAt(double[]) - Method in class edu.stanford.nlp.ie.hmm.DiscriminativeHMMDiffFunction
Returns the value of the function at a single point.
valueAt(double[]) - Method in interface edu.stanford.nlp.optimization.Function
Returns the value of the function at a single point.
values() - Method in class edu.stanford.nlp.database.SLJDB
 
values() - Method in class edu.stanford.nlp.database.HashDB
returns an Iterator over values in database
values() - Method in class edu.stanford.nlp.database.DummyDB
Returns an Iterator over values in database
values() - Method in interface edu.stanford.nlp.database.SimpleDatabase
Returns an Iterator over values in database
valuesI - Variable in class edu.stanford.nlp.maxent.iis.ByteFeature
These are the non-zero values we want to keep for the points is indexedValues.
valuesI - Variable in class edu.stanford.nlp.maxent.iis.Feature
These are the non-zero values we want to keep for the points in indexedValues.
variables() - Method in class edu.stanford.nlp.stats.HashObservation
Gets a set view of all the random variables specified in this observation.
variables() - Method in interface edu.stanford.nlp.stats.Statistics
Returns a set of all the random variables that have been defined
variables() - Method in class edu.stanford.nlp.stats.SimpleStatistics
 
variables() - Method in interface edu.stanford.nlp.stats.Observation
 
vArray - Static variable in class edu.stanford.nlp.maxent.iis.Experiments
vArray has dimensions [numTraining][2] and holds the x and y for each training sample.
VectorClusters - class edu.stanford.nlp.cluster.VectorClusters.
Simple implementation of Clusters.
VectorClusters() - Constructor for class edu.stanford.nlp.cluster.VectorClusters
constructs a Clusters
VectorClusters(int) - Constructor for class edu.stanford.nlp.cluster.VectorClusters
constructs a Clusters of given size
VERB - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
verbAuxTransformedBobChris() - Static method in class edu.stanford.nlp.trees.TreeNormalizers
 
VERBOSE - Static variable in class edu.stanford.nlp.util.Dbg
 
verbosity - Static variable in class edu.stanford.nlp.util.Dbg
 
Verifier - class edu.stanford.nlp.classify.Verifier.
Compares the classification of a FeatureSet (true value) to the classification of a Classification (predicted value)
Verifier(FeatureSet, Classification) - Constructor for class edu.stanford.nlp.classify.Verifier
Constructor: takes the FeatureSet and Classification whose values will be prepared.
verify() - Method in class edu.stanford.nlp.util.ScoredPriorityAgenda
 
verify() - Method in class edu.stanford.nlp.util.ArrayHeap
 
verifyObservations - Variable in class edu.stanford.nlp.stats.Factor
 
ViterbiParser - interface edu.stanford.nlp.parser.ViterbiParser.
The interface for Viterbi parsers.
viterbiSequence(Document) - Method in class edu.stanford.nlp.ie.hmm.HMM
Calculate a Viterbi alignment through the document from start state to end state which precede and follow the state emission observations respectively.
vocab - Variable in class edu.stanford.nlp.ie.hmm.HMM
maps words to how many times they appeared in training
VocabBuilder - class edu.stanford.nlp.classify.VocabBuilder.
Takes a ProbabilitySet and builds a hash table that contains the entire vocabulary.
VocabBuilder(ProbabilitySet) - Constructor for class edu.stanford.nlp.classify.VocabBuilder
Constructor.
vocabSize() - Method in class edu.stanford.nlp.ie.hmm.Corpus
 

W

wantadd(IntTuple) - Method in class edu.stanford.nlp.mt.AlHandlerHMM1Tags
 
WARNING - Static variable in class edu.stanford.nlp.util.Dbg
 
warning(SAXParseException) - Method in class edu.stanford.nlp.classify.ScoreHandler
Warning.
warning(SAXParseException) - Method in class edu.stanford.nlp.classify.MedlineHandler
Warning.
warning(SAXParseException) - Method in class edu.stanford.nlp.wsd.SensevalOutput
Warning.
wasSeen(String) - Method in class edu.stanford.nlp.ie.hmm.HMM
Words that are only seen once in the training data are considered unseen for the purpose of esimating each state's probability of emitting an unseen word.
weakEquals(Object) - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
weakEquals(Object) - Method in interface edu.stanford.nlp.util.Internable
 
weakEqualsHelper(Edge) - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
weakHashCode() - Method in class edu.stanford.nlp.parser.oldparser.Edge
 
weakHashCode() - Method in interface edu.stanford.nlp.util.Internable
 
WebSearch - class edu.stanford.nlp.web.WebSearch.
Implements a simple web search interface.
WebSearch() - Constructor for class edu.stanford.nlp.web.WebSearch
Constructor: uses the default initialization file websearch.init in the current directory for properties.
WebSearch(String) - Constructor for class edu.stanford.nlp.web.WebSearch
Constructor: uses the initialization file specified.
WebSearchMerger - class edu.stanford.nlp.ie.merge.WebSearchMerger.
Merger that handles the url and search_term fields
WebSearchMerger() - Constructor for class edu.stanford.nlp.ie.merge.WebSearchMerger
 
weight() - Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
weight() - Method in interface edu.stanford.nlp.util.Weighted
Return the weight of this thing
Weighted - interface edu.stanford.nlp.util.Weighted.
Weighted.
WeightedAverage - class edu.stanford.nlp.math.WeightedAverage.
Implements Weighted average
WeightedAverage() - Constructor for class edu.stanford.nlp.math.WeightedAverage
 
WeightedFollowedTaggedWord - class edu.stanford.nlp.trees.WeightedFollowedTaggedWord.
A WeightedFollowedTaggedWord object contains a word and its tag, but it also records what text follows the token.
WeightedFollowedTaggedWord() - Constructor for class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
WeightedFollowedTaggedWord(Label) - Constructor for class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
WeightedFollowedTaggedWord(Label, Label) - Constructor for class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
WeightedFollowedTaggedWord(String) - Constructor for class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
WeightedFollowedTaggedWord(String, String) - Constructor for class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
WeightedFollowedTaggedWord(String, String, String, double) - Constructor for class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
 
WekaProblemSolver - class edu.stanford.nlp.maxent.iis.WekaProblemSolver.
 
WekaProblemSolver() - Constructor for class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
WekaProblemSolver(String) - Constructor for class edu.stanford.nlp.maxent.iis.WekaProblemSolver
 
WekaProblemSolverCombinations - class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations.
 
WekaProblemSolverCombinations() - Constructor for class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
WekaProblemSolverCombinations(String) - Constructor for class edu.stanford.nlp.maxent.iis.WekaProblemSolverCombinations
 
WHITESPACE - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
WHITESPACE - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
Word - class edu.stanford.nlp.mt.Word.
This class holds a word Id together with a tag Id Later other fields might be added as well
Word - class edu.stanford.nlp.trees.Word.
A Word object acts as a Label by containing a String.
WORD - Static variable in interface edu.stanford.nlp.annotation.HtmlLexerConstants
 
WORD - Static variable in interface edu.stanford.nlp.ie.desc.ChunkerConstants
 
WORD_LABEL - Static variable in class edu.stanford.nlp.trees.AdaptiveLabelFactory
 
word() - Method in class edu.stanford.nlp.trees.NullLabel
 
word() - Method in class edu.stanford.nlp.trees.CategoryWordTag
 
word() - Method in interface edu.stanford.nlp.trees.HasWord
Return the word value of the label (or null if none).
word() - Method in class edu.stanford.nlp.trees.Word
 
Word() - Constructor for class edu.stanford.nlp.mt.Word
 
Word() - Constructor for class edu.stanford.nlp.trees.Word
Construct a new word with a null value.
Word(int) - Constructor for class edu.stanford.nlp.mt.Word
 
Word(int, int) - Constructor for class edu.stanford.nlp.mt.Word
 
Word(Label) - Constructor for class edu.stanford.nlp.trees.Word
Creates a new word whose word value is the value of any class that supports the Label interface.
Word(String) - Constructor for class edu.stanford.nlp.trees.Word
Construct a new word, with the given value.
wordCount() - Method in class edu.stanford.nlp.ie.hmm.Corpus
 
wordCountsByLength - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
WordEx - class edu.stanford.nlp.mt.WordEx.
 
WordEx() - Constructor for class edu.stanford.nlp.mt.WordEx
 
WordEx(int, int) - Constructor for class edu.stanford.nlp.mt.WordEx
 
WordEx(int, int, int, int) - Constructor for class edu.stanford.nlp.mt.WordEx
 
WordExPair - class edu.stanford.nlp.mt.WordExPair.
 
WordExPair() - Constructor for class edu.stanford.nlp.mt.WordExPair
 
WordExPair(WordEx, WordEx) - Constructor for class edu.stanford.nlp.mt.WordExPair
 
WordFactory - class edu.stanford.nlp.trees.WordFactory.
A WordFactory acts as a factory for creating objects of class Word.
WordFactory() - Constructor for class edu.stanford.nlp.trees.WordFactory
Creates a new WordFactory.
WordLabeledScoredTreeReaderFactory - class edu.stanford.nlp.trees.WordLabeledScoredTreeReaderFactory.
This class implements a TreeReaderFactory that produces Word labeled, scored array-based Trees, which have been cleaned up to delete empties, etc., according to the BobChrisTreeNormalizer.
WordLabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.WordLabeledScoredTreeReaderFactory
 
WordPair - class edu.stanford.nlp.mt.WordPair.
 
WordPair() - Constructor for class edu.stanford.nlp.mt.WordPair
 
WordPair(Word, Word) - Constructor for class edu.stanford.nlp.mt.WordPair
 
WordTag - class edu.stanford.nlp.tagger.maxent.WordTag.
 
WordTag() - Constructor for class edu.stanford.nlp.tagger.maxent.WordTag
 
WordTag(String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.WordTag
 
wordTotalCounts - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
wordTotalsByLength - Variable in class edu.stanford.nlp.ie.pcfg.PNPC
 
WordTypeStripper - class edu.stanford.nlp.ie.hmm.WordTypeStripper.
Appliable that sets the type of a TypedTaggedWord to 0.
WordTypeStripper() - Constructor for class edu.stanford.nlp.ie.hmm.WordTypeStripper
 
writeAStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeAStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeBooleanToByteArr(byte[], int, boolean) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeCharToByteArr(byte[], int, char) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeDFSAasDOTfile(DFSA, File) - Method in class edu.stanford.nlp.lexgram.GrammarCompiler
 
writeDoubleToByteArr(byte[], int, double) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeFloatToByteArr(byte[], int, float) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeIntToByteArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
WriteLine(String, BufferedWriter) - Static method in class edu.stanford.nlp.ie.pcfg.Util
writes a single-line string plus newline out to a buffered writer.
writeLongToByteArr(byte[], int, long) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeProbs() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
WriteRules(List, String, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.XRule
Writes rules to a file.
WriteRules(List, String, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.ie.pcfg.XRule
Writes rules to a file.
writeShortToByteArr(byte[], int, short) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
WriteTB(String) - Method in class edu.stanford.nlp.ie.pcfg.TBMan
writes the treebank out to a file
WriteTree(Tree, String) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
writes a single tree to a file
WriteTrees(List, String) - Static method in class edu.stanford.nlp.ie.pcfg.TreeUtil
writes a list of trees to a file
writeUStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 
writeUStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.iis.Convert
 

X

XLabel - class edu.stanford.nlp.ie.pcfg.XLabel.
An XLabel is a tree node label that holds certain information specific to the information extraction task (and my information extraction system in general).
XLabel(String) - Constructor for class edu.stanford.nlp.ie.pcfg.XLabel
construct a new XLabel from an existing string in XLabel format.
XPNPC - class edu.stanford.nlp.ie.pcfg.XPNPC.
Contains numerous PNPCs which it uses to determine the probable classification of different types of words.
XPNPC(List) - Constructor for class edu.stanford.nlp.ie.pcfg.XPNPC
creates a new XPNPC.
XPNPC2 - class edu.stanford.nlp.ie.pcfg.XPNPC2.
 
XPNPC2(List) - Constructor for class edu.stanford.nlp.ie.pcfg.XPNPC2
 
XPNPC3 - class edu.stanford.nlp.ie.pcfg.XPNPC3.
 
XPNPC3(List) - Constructor for class edu.stanford.nlp.ie.pcfg.XPNPC3
 
XRule - class edu.stanford.nlp.ie.pcfg.XRule.
Grammar rules with probabilities.
XRule(String) - Constructor for class edu.stanford.nlp.ie.pcfg.XRule
creates a new XRule by parsing a string.
XRule(XLabel) - Constructor for class edu.stanford.nlp.ie.pcfg.XRule
creates a new XRule with an empty RHS and p == 1
XSentence - class edu.stanford.nlp.ie.pcfg.XSentence.
Provides basic sentence-manipulation functionality.
XSentence() - Constructor for class edu.stanford.nlp.ie.pcfg.XSentence
 
xSize - Static variable in class edu.stanford.nlp.maxent.iis.Experiments
 
XTagSet - class edu.stanford.nlp.ie.pcfg.XTagSet.
A TagSet and its probability.
XTagSet() - Constructor for class edu.stanford.nlp.ie.pcfg.XTagSet
 
XTagSet(List) - Constructor for class edu.stanford.nlp.ie.pcfg.XTagSet
 
XTagSet(List, double) - Constructor for class edu.stanford.nlp.ie.pcfg.XTagSet
 
XYPlotFrame - class edu.stanford.nlp.util.XYPlotFrame.
This application displays a JFrame that you can draw in
XYPlotFrame(String, int, int) - Constructor for class edu.stanford.nlp.util.XYPlotFrame
 

Y

yield() - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(List) - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
ySize - Static variable in class edu.stanford.nlp.maxent.iis.Experiments
 
yybegin(int) - Method in class edu.stanford.nlp.annotation.PTBLexer
Enters a new lexical state
yycharat(int) - Method in class edu.stanford.nlp.annotation.PTBLexer
Returns the character at position pos from the matched text.
yyclose() - Method in class edu.stanford.nlp.annotation.PTBLexer
Closes the input stream.
YYEOF - Static variable in class edu.stanford.nlp.annotation.PTBLexer
This character denotes the end of file
YYINITIAL - Static variable in class edu.stanford.nlp.annotation.PTBLexer
lexical states
yylength() - Method in class edu.stanford.nlp.annotation.PTBLexer
Returns the length of the matched text region.
yylex() - Method in class edu.stanford.nlp.annotation.PTBLexer
Resumes scanning until the next regular expression is matched, the end of input is encountered or an I/O-Error occurs.
yyreset(Reader) - Method in class edu.stanford.nlp.annotation.PTBLexer
Closes the current stream, and resets the scanner to read from a new input stream.
yystate() - Method in class edu.stanford.nlp.annotation.PTBLexer
Returns the current lexical state.
yytext() - Method in class edu.stanford.nlp.annotation.PTBLexer
Returns the text matched by the current regular expression.

Z

Z - Variable in class edu.stanford.nlp.classify.SimpleGoodTuring
 
ZERO - Static variable in class edu.stanford.nlp.ie.hmm.Structure
 
zeroCounts() - Method in class edu.stanford.nlp.mt.ATableHMMFull
Before starting a new iteration the counts should be zero-ed
zeroCounts() - Method in class edu.stanford.nlp.mt.ATableHMM2EQ
Before starting a new iteration the counts should be zero-ed
zeroCounts() - Method in class edu.stanford.nlp.mt.ATableHMM2
Before starting a new iteration the counts should be zero-ed
zeroCounts() - Method in class edu.stanford.nlp.mt.ATableHMM
Before starting a new iteration the counts should be zero-ed
zeroTable - Variable in class edu.stanford.nlp.ie.hmm.HMM
 
zlambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Normalization factors, one for each x

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Stanford NLP Group