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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.
package edu.stanford.nlp.parser.lexparser;
import edu.stanford.nlp.util.logging.Redwood;
import java.util.Map;
import java.util.Set;
import edu.stanford.nlp.ling.Label;
import edu.stanford.nlp.ling.Tag;
import edu.stanford.nlp.ling.TaggedWord;
import edu.stanford.nlp.stats.ClassicCounter;
import edu.stanford.nlp.util.Generics;
import edu.stanford.nlp.util.Index;
public class BaseUnknownWordModelTrainer
extends AbstractUnknownWordModelTrainer
{
/** A logger for this class */
private static Redwood.RedwoodChannels log = Redwood.channels(BaseUnknownWordModelTrainer.class);
// Records the number of times word/tag pair was seen in training data.
ClassicCounter seenCounter;
// Counts of each tag (stored as a Label) on unknown words.
ClassicCounter