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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.

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package edu.stanford.nlp.parser.lexparser;

import java.util.Collection;
import java.util.List;

import edu.stanford.nlp.ling.TaggedWord;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.util.Index;


public abstract class AbstractUnknownWordModelTrainer
  implements UnknownWordModelTrainer
{
  double treesRead;
  double totalTrees;

  Index wordIndex, tagIndex;

  Options op;
  Lexicon lex;

  @Override
  public void initializeTraining(Options op, Lexicon lex,
                                 Index wordIndex,
                                 Index tagIndex, double totalTrees) {
    this.totalTrees = totalTrees;
    this.treesRead = 0;

    this.wordIndex = wordIndex;
    this.tagIndex = tagIndex;
    this.op = op;
    this.lex = lex;
  }



  @Override
  public final void train(Collection trees) {
    train(trees, 1.0);
  }

  @Override
  public final void train(Collection trees, double weight) {
    for (Tree tree : trees) {
      train(tree, weight);
    }
  }


  @Override
  public final void train(Tree tree, double weight) {
    incrementTreesRead(weight);
    int loc = 0;
    List yield = tree.taggedYield();
    for (TaggedWord tw : yield) {
      train(tw, loc, weight);
      ++loc;
    }
  }

  @Override
  public void incrementTreesRead(double weight) {
    treesRead += weight;
  }

}