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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.List;

import edu.stanford.nlp.ling.HasWord;


/** @author Dan Klein */
class TwinScorer implements Scorer {

  private Scorer scorer1;
  private Scorer scorer2;

  public double oScore(Edge edge) {
    return scorer1.oScore(edge) + scorer2.oScore(edge);
  }

  public double iScore(Edge edge) {
    return scorer1.iScore(edge) + scorer2.iScore(edge);
  }

  public boolean oPossible(Hook hook) {
    return scorer1.oPossible(hook) && scorer2.oPossible(hook);
  }

  public boolean iPossible(Hook hook) {
    return scorer1.iPossible(hook) && scorer2.iPossible(hook);
  }

  public boolean parse(List words) {
    boolean b1 = scorer1.parse(words);
    boolean b2 = scorer2.parse(words);
    return (b1 && b2);
  }

  public TwinScorer(Scorer scorer1, Scorer scorer2) {
    this.scorer1 = scorer1;
    this.scorer2 = scorer2;
  }

}