public Alignment alignSentencePair(SentencePair sentencePair) {
Alignment alignment = new Alignment();
List<String> frenchWords = sentencePair.getFrenchWords();
List<String> englishWords = sentencePair.getEnglishWords();
int numFrenchWords = frenchWords.size();
int numEnglishWords = englishWords.size();
for (int frenchPosition = 0; frenchPosition < numFrenchWords; frenchPosition++) {
String f = frenchWords.get(frenchPosition);
int englishMaxPosition = frenchPosition;
if (englishMaxPosition >= numEnglishWords)
englishMaxPosition = -1; // map French word to BASELINE if c(f,e) = 0 for all English words
double maxDice = 0;
for (int englishPosition = 0; englishPosition < numEnglishWords; englishPosition++) {
String e = englishWords.get(englishPosition);
double dice = getDiceCoefficient(f,e);
if (dice > maxDice) {
maxDice = dice;
englishMaxPosition = englishPosition;
}
}
alignment.addAlignment(englishMaxPosition, frenchPosition, true);
}
return alignment;
}
private static void test(WordAligner wordAligner, List<SentencePair> testSentencePairs, Map<Integer, Alignment> testAlignments, boolean verbose) {
int proposedSureCount = 0;
int proposedPossibleCount = 0;
int sureCount = 0;
int proposedCount = 0;
for (SentencePair sentencePair : testSentencePairs) {
Alignment proposedAlignment = wordAligner.alignSentencePair(sentencePair);
Alignment referenceAlignment = testAlignments.get(sentencePair.getSentenceID());
if (referenceAlignment == null)
throw new RuntimeException("No reference alignment found for sentenceID "+sentencePair.getSentenceID());
if (verbose) System.out.println("Alignment:\n"+Alignment.render(referenceAlignment,proposedAlignment,sentencePair));
for (int frenchPosition = 0; frenchPosition < sentencePair.getFrenchWords().size(); frenchPosition++) {
for (int englishPosition = 0; englishPosition < sentencePair.getEnglishWords().size(); englishPosition++) {
boolean proposed = proposedAlignment.containsSureAlignment(englishPosition, frenchPosition);
boolean sure = referenceAlignment.containsSureAlignment(englishPosition, frenchPosition);
boolean possible = referenceAlignment.containsPossibleAlignment(englishPosition, frenchPosition);
if (proposed && sure) proposedSureCount += 1;
if (proposed && possible) proposedPossibleCount += 1;
if (proposed) proposedCount += 1;
if (sure) sureCount += 1;
}
}
}
System.out.println("Precision: "+proposedPossibleCount/(double)proposedCount);
System.out.println("Recall: "+proposedSureCount/(double)sureCount);
System.out.println("AER: "+(1.0-(proposedSureCount+proposedPossibleCount)/(double)(sureCount+proposedCount)));
}
public Alignment alignSentencePair(SentencePair sentencePair) {
Alignment alignment = new Alignment();
List<String> frenchWords = sentencePair.getFrenchWords();
List<String> englishWords = sentencePair.getEnglishWords();
int numFrenchWords = frenchWords.size();
int numEnglishWords = englishWords.size();
// Model 1 assumes all alignments are equally likely
// So we can just take the argMax of t(f|e) to get the englishMaxPosition
for (int frenchPosition = 0; frenchPosition < numFrenchWords; frenchPosition++) {
String f = frenchWords.get(frenchPosition);
int englishMaxPosition = -1;
double maxTranslationProb = translationProbs.getCount(f, NULL);
for (int englishPosition = 0; englishPosition < numEnglishWords; englishPosition++) {
String e = englishWords.get(englishPosition);
double translationProb = translationProbs.getCount(f, e);
if (translationProb > maxTranslationProb) {
maxTranslationProb = translationProb;
englishMaxPosition = englishPosition;
}
}
alignment.addAlignment(englishMaxPosition, frenchPosition, true);
}
return alignment;
}
public Alignment alignSentencePair(SentencePair sentencePair) {
Alignment alignment = new Alignment();
List<String> frenchWords = sentencePair.getFrenchWords();
List<String> englishWords = sentencePair.getEnglishWords();
int numFrenchWords = frenchWords.size();
int numEnglishWords = englishWords.size();
for (int frenchPosition = 0; frenchPosition < numFrenchWords; frenchPosition++) {
String f = frenchWords.get(frenchPosition);
int englishMaxPosition = frenchPosition;
if (englishMaxPosition >= numEnglishWords)
englishMaxPosition = -1; // map French word to BASELINE if c(f,e) = 0 for all English words
double maxConditionalProb = 0;
for (int englishPosition = 0; englishPosition < numEnglishWords; englishPosition++) {
String e = englishWords.get(englishPosition);
double conditionalGivenEnglish = collocationCounts.getCount(f, e) / (eCounts.getCount(e));
if (conditionalGivenEnglish > maxConditionalProb) {
maxConditionalProb = conditionalGivenEnglish;
englishMaxPosition = englishPosition;
}
}
alignment.addAlignment(englishMaxPosition, frenchPosition, true);
}
return alignment;
}
public Alignment alignSentencePair(SentencePair sentencePair) {
Alignment alignment = new Alignment();
int numFrenchWords = sentencePair.getFrenchWords().size();
int numEnglishWords = sentencePair.getEnglishWords().size();
for (int frenchPosition = 0; frenchPosition < numFrenchWords; frenchPosition++) {
int englishPosition = frenchPosition;
if (englishPosition >= numEnglishWords)
englishPosition = -1;
alignment.addAlignment(englishPosition, frenchPosition, true);
}
return alignment;
}
private static void predict(WordAligner wordAligner, List<SentencePair> testSentencePairs, String path) throws IOException {
BufferedWriter writer = new BufferedWriter(new FileWriter(path));
for (SentencePair sentencePair : testSentencePairs) {
Alignment proposedAlignment = wordAligner.alignSentencePair(sentencePair);
for (int frenchPosition = 0; frenchPosition < sentencePair.getFrenchWords().size(); frenchPosition++) {
for (int englishPosition = 0; englishPosition < sentencePair.getEnglishWords().size(); englishPosition++) {
if (proposedAlignment.containsSureAlignment(englishPosition, frenchPosition)) {
writer.write(frenchPosition + "-" + englishPosition + " ");
}
}
}
writer.write("\n");
}
writer.close();
}
private void trainCounters() {
for (SentencePair sentencePair : trainingSentencePairs) {
List<String> frenchWords = sentencePair.getFrenchWords();
List<String> englishWords = sentencePair.getEnglishWords();
//fCounts.incrementAll(frenchWords, 1.0); // won't affect the argMax
eCounts.incrementAll(englishWords, 1.0);
for (String f: frenchWords) {
for (String e: englishWords)
collocationCounts.incrementCount(f, e, 1.0);
}
}
System.out.println("Trained!");
}
private void trainCounters() {
for (SentencePair sentencePair : trainingSentencePairs) {
List<String> frenchWords = sentencePair.getFrenchWords();
List<String> englishWords = sentencePair.getEnglishWords();
Set<String> frenchSet = new HashSet<String>(frenchWords);
Set<String> englishSet = new HashSet<String>(englishWords);
fCountSentences.incrementAll(frenchSet, 1.0);
eCountSentences.incrementAll(englishSet, 1.0);
for (String f: frenchSet) {
for (String e: englishSet)
collocationCountSentences.incrementCount(f, e, 1.0);
}
}
System.out.println("Trained!");
}
public static String render(Alignment reference, Alignment proposed, SentencePair sentencePair) {
StringBuilder sb = new StringBuilder();
for (int frenchPosition = 0; frenchPosition < sentencePair.getFrenchWords().size(); frenchPosition++) {
for (int englishPosition = 0; englishPosition < sentencePair.getEnglishWords().size(); englishPosition++) {
boolean sure = reference.containsSureAlignment(englishPosition, frenchPosition);
boolean possible = reference.containsPossibleAlignment(englishPosition, frenchPosition);
char proposedChar = ' ';
if (proposed.containsSureAlignment(englishPosition, frenchPosition))
proposedChar = '#';
if (sure) {
sb.append('[');
sb.append(proposedChar);
sb.append(']');
} else {
if (possible) {
sb.append('(');
sb.append(proposedChar);
sb.append(')');
} else {
sb.append(' ');
sb.append(proposedChar);
sb.append(' ');
}
}
}
sb.append("| ");
sb.append(sentencePair.getFrenchWords().get(frenchPosition));
sb.append('\n');
}
for (int englishPosition = 0; englishPosition < sentencePair.getEnglishWords().size(); englishPosition++) {
sb.append("---");
}
sb.append("'\n");
boolean printed = true;
int index = 0;
while (printed) {
printed = false;
StringBuilder lineSB = new StringBuilder();
for (int englishPosition = 0; englishPosition < sentencePair.getEnglishWords().size(); englishPosition++) {
String englishWord = sentencePair.getEnglishWords().get(englishPosition);
if (englishWord.length() > index) {
printed = true;
lineSB.append(' ');
lineSB.append(englishWord.charAt(index));
lineSB.append(' ');
} else {
lineSB.append(" ");
}
}
index += 1;
if (printed) {
sb.append(lineSB);
sb.append('\n');
}
}
return sb.toString();
}
private CounterMap<String,String> trainEM(int maxIterations) {
Set<String> englishVocab = new HashSet<String>();
Set<String> frenchVocab = new HashSet<String>();
CounterMap<String,String> translations = new CounterMap<String,String>();
englishVocab.add(NULL);
int iteration = 0;
final double thresholdProb = 0.0001;
for (SentencePair sentencePair : trainingSentencePairs) {
List<String> frenchWords = sentencePair.getFrenchWords();
List<String> englishWords = sentencePair.getEnglishWords();
// add words from list to vocabulary sets
englishVocab.addAll(englishWords);
frenchVocab.addAll(frenchWords);
}
System.out.println("Ready");
// We need to initialize translations.getCount(f,e) uniformly
// t(f|e) summed over all e in {E + NULL} = 1
final double initialCount = 1.0 / englishVocab.size();
while(iteration < maxIterations) {
CounterMap<String,String> counts = new CounterMap<String,String>(); // set count(f|e) to 0 for all e,f
Counter<String> totalEnglish = new Counter<String>(); // set total(e) to 0 for all e
// E-step: loop over all sentences and update counts
for (SentencePair sentencePair : trainingSentencePairs) {
List<String> frenchWords = sentencePair.getFrenchWords();
List<String> englishWords = sentencePair.getEnglishWords();
int numFrenchWords = frenchWords.size();
int numEnglishWords = englishWords.size();
Counter<String> sTotalF = new Counter<String>();
// compute normalization constant sTotalF
for (int frenchPosition = 0; frenchPosition < numFrenchWords; frenchPosition++) {
String f = frenchWords.get(frenchPosition);
// initialize and compute for English = NULL
if (!translations.containsKey(f) && initialize)
translations.setCount(f, NULL, initialCount);
else if (!translations.containsKey(f))
translations.setCount(f, NULL, thresholdProb);
sTotalF.incrementCount(f, translations.getCount(f, NULL));
for (int englishPosition = 0; englishPosition < numEnglishWords; englishPosition++) {
String e = englishWords.get(englishPosition);
if (!(translations.getCounter(f)).containsKey(e) && initialize)
translations.setCount(f, e, initialCount);
else if (!(translations.getCounter(f)).containsKey(e))
translations.setCount(f, e, thresholdProb);
sTotalF.incrementCount(f, translations.getCount(f, e));
}
}
// collect counts in counts and totalEnglish
for (int frenchPosition = 0; frenchPosition < numFrenchWords; frenchPosition++) {
String f = frenchWords.get(frenchPosition);
// collect counts for English = NULL
double count = translations.getCount(f, NULL) / sTotalF.getCount(f);
counts.incrementCount(NULL, f, count);
totalEnglish.incrementCount(NULL, count);
for (int englishPosition = 0; englishPosition < numEnglishWords; englishPosition++) {
String e = englishWords.get(englishPosition);
count = translations.getCount(f, e) / sTotalF.getCount(f);
counts.incrementCount(e, f, count);
totalEnglish.incrementCount(e, count);
}
}
} // end of E-step
System.out.println("Completed E-step");
// M-step: update probabilities with counts from E-step and check for convergence
iteration++;
for (String e : counts.keySet()) {//englishVocab) {
double normalizer = totalEnglish.getCount(e);
for (String f : (counts.getCounter(e)).keySet()) {//frenchVocab) {
// To speed implementation, we want to update translations only when count / normalizer > threshold
double prob = counts.getCount(e, f) / normalizer;
if (!initialize) {
if (prob > thresholdProb)
translations.setCount(f, e, prob);
else
(translations.getCounter(f)).removeKey(e);
}
else {
translations.setCount(f, e, prob);
}
}
}
System.out.println("Completed iteration " + iteration);
} // end of M-step
System.out.println("Trained!");
return translations;
}
