edu.stanford.nlp.mt
Class ATableHMM2EQ

java.lang.Object
  |
  +--edu.stanford.nlp.mt.ATable
        |
        +--edu.stanford.nlp.mt.ATableHMM2EQ

public class ATableHMM2EQ

extends ATable

Constructor Summary

ATableHMM2EQ()

ATableHMM2EQ(int maxsize)

Method Summary

boolean	checkOK()
boolean	checkOK(int len) Check OK for a specific length len
double	DKL(ATableHMM a)
float	getEmpty()
float	getInitialProb(int index, int l) Get the initial probability p(i|l) i is in 0..l , l is the length of the english sentence
float	getProb(int i, int i_prev, int i_prev2, int l) Smooth the basic probability if smoothUniform is on
float	getProbHMM(int i, int i_prev, int j_prev2, int l) 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
float	getProbJump(int distance, int distance1) Get the prior probability of jumping a distance distance
void	incCount(int distance, int distance1, float cnt) Increment the count for a jump of distance distance
void	incCount(int i, int i_prev, int i_prev2, int l, double val1) Increment the corresponding counts
void	incCountInitPos(int i, float cnt) Increment the count for an initial jump to position I
void	incEmpty(int absjump, float cnt) Increment the count for a zero jump with cnt
void	initialize(ATable a1)
void	initializeUniform() Initialize the probabilities in a brain dead manner uniformly
boolean	isPopulated()
boolean	isToNull(int jump)
int	jump(int i, int i_p, int l)
float	Mabs(float x)
static void	main(String[] args) Some code to test the class
void	normalize() This does the normalization of the component distributions
void	normalizeInitialProbs() 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
void	normalizeProbArr() Normalize the transition table prob_arr and put the appropriate probabilities there
boolean	possibleExternal(int i_prev, int jump, int l)
boolean	possibleInternal(int i_prev, int jump, int l)
void	printBasicProbs()
void	printProbs()
void	read(String filename) reading the jump probabilities and initializing
void	readHMM1(String filename) reading the jump probabilities from an HMM1 file and initializing
void	save(String filename) Saving just the jump probabilities
void	zeroCounts() Before starting a new iteration the counts should be zero-ed

Methods inherited from class edu.stanford.nlp.mt.ATable

DKL, getCount, getProb, incCount, incCount

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ATableHMM2EQ

public ATableHMM2EQ(int maxsize)

ATableHMM2EQ

public ATableHMM2EQ()

Method Detail

getInitialProb

public float getInitialProb(int index,
                            int l)

Get the initial probability p(i|l) i is in 0..l , l is the length of the english sentence

isPopulated

public boolean isPopulated()

Overrides:

isPopulated in class ATable

getProbHMM

public float getProbHMM(int i,
                        int i_prev,
                        int j_prev2,
                        int l)

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

isToNull

public boolean isToNull(int jump)

possibleExternal

public boolean possibleExternal(int i_prev,
                                int jump,
                                int l)

possibleInternal

public boolean possibleInternal(int i_prev,
                                int jump,
                                int l)

getProb

public float getProb(int i,
                     int i_prev,
                     int i_prev2,
                     int l)

Smooth the basic probability if smoothUniform is on

Overrides:

getProb in class ATable

incCount

public void incCount(int i,
                     int i_prev,
                     int i_prev2,
                     int l,
                     double val1)

Increment the corresponding counts

Overrides:

incCount in class ATable

incCount

public void incCount(int distance,
                     int distance1,
                     float cnt)

Increment the count for a jump of distance distance

getProbJump

public float getProbJump(int distance,
                         int distance1)

Get the prior probability of jumping a distance distance

incEmpty

public void incEmpty(int absjump,
                     float cnt)

Increment the count for a zero jump with cnt

incCountInitPos

public void incCountInitPos(int i,
                            float cnt)

Increment the count for an initial jump to position I

normalizeInitialProbs

public void normalizeInitialProbs()

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

zeroCounts

public void zeroCounts()

Before starting a new iteration the counts should be zero-ed

normalizeProbArr

public void normalizeProbArr()

Normalize the transition table prob_arr and put the appropriate probabilities there

normalize

public void normalize()

This does the normalization of the component distributions

Overrides:

normalize in class ATable

initializeUniform

public void initializeUniform()

Initialize the probabilities in a brain dead manner uniformly

Overrides:

initializeUniform in class ATable

initialize

public void initialize(ATable a1)

Overrides:

initialize in class ATable

getEmpty

public float getEmpty()

Overrides:

getEmpty in class ATable

checkOK

public boolean checkOK()

Overrides:

checkOK in class ATable

checkOK

public boolean checkOK(int len)

Check OK for a specific length len

jump

public int jump(int i,
                int i_p,
                int l)

printProbs

public void printProbs()

Overrides:

printProbs in class ATable

printBasicProbs

public void printBasicProbs()

Mabs

public float Mabs(float x)

main

public static void main(String[] args)

Some code to test the class

save

public void save(String filename)

Saving just the jump probabilities

Overrides:

save in class ATable

DKL

public double DKL(ATableHMM a)

read

public void read(String filename)

reading the jump probabilities and initializing

readHMM1

public void readHMM1(String filename)

reading the jump probabilities from an HMM1 file and initializing