public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { System.err.printf("%s: WARNING: Unseen word counter is empty!", this.getClass().getName()); int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { System.err.printf("%s: WARNING: Unseen word counter is empty!", this.getClass().getName()); int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } return model; }
@Override public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; } }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! Lexicon.BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; }
pw.println(" Tags: " + Counters.toString(tags, nf)); pw.println(" " + starts.size() + " start categories: " + Counters.toString(starts, nf)); if ( ! puncts.isEmpty()) { pw.println(" Puncts: " + Counters.toString(puncts, nf));
if (!unLabeledPatternsandWords4Label.containsFirstKey(pat) || unLabeledPatternsandWords4Label.getCounter(pat).isEmpty()) { Redwood.log(ConstantsAndVariables.extremedebug, "Removing pattern " + pat + " because it has no unlab support; pos words: " + patternsandWords4Label.getCounter(pat));
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { System.err.printf("%s: WARNING: Unseen word counter is empty!", this.getClass().getName()); int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { System.err.printf("%s: WARNING: Unseen word counter is empty!", this.getClass().getName()); int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { System.err.printf("%s: WARNING: Unseen word counter is empty!", this.getClass().getName()); int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { System.err.printf("%s: WARNING: Unseen word counter is empty!", this.getClass().getName()); int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { System.err.printf("%s: WARNING: Unseen word counter is empty!", this.getClass().getName()); int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! Lexicon.BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! Lexicon.BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; }
public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! Lexicon.BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; }
@Override public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; } }
@Override public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; } }
@Override public UnknownWordModel finishTraining() { // make sure the unseen counter isn't empty! If it is, put in // a uniform unseen over tags if (unSeenCounter.isEmpty()) { int numTags = tagIndex.size(); for (int tt = 0; tt < numTags; tt++) { if ( ! BOUNDARY_TAG.equals(tagIndex.get(tt))) { IntTaggedWord iT = new IntTaggedWord(nullWord, tt); IntTaggedWord i = NULL_ITW; unSeenCounter.incrementCount(iT); unSeenCounter.incrementCount(i); } } } // index the possible tags for each word // numWords = wordIndex.size(); // unknownWordIndex = wordIndex.indexOf(Lexicon.UNKNOWN_WORD, true); // initRulesWithWord(); return model; } }
pw.println(" Tags: " + Counters.toString(tags, nf)); pw.println(" " + starts.size() + " start categories: " + Counters.toString(starts, nf)); if ( ! puncts.isEmpty()) { pw.println(" Puncts: " + Counters.toString(puncts, nf));
pw.println(" Tags: " + Counters.toString(tags, nf)); pw.println(" " + starts.size() + " start categories: " + Counters.toString(starts, nf)); if ( ! puncts.isEmpty()) { pw.println(" Puncts: " + Counters.toString(puncts, nf));
if (unSeenCounter.isEmpty()) { int numTags = tagNumberer().total(); for (int tt = 0; tt < numTags; tt++) {