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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.semgraph;

import edu.stanford.nlp.ling.IndexedWord;

/**
 * Represents an extensible class that can be extended and passed around
 * to perform 
 * @author Eric Yeh
 *
 */
public class IndexedWordUnaryPred {
  public boolean test(IndexedWord node) { return true; }    
  
  public boolean test(IndexedWord node, SemanticGraph sg) { return test(node); }
}