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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;

import edu.stanford.nlp.trees.Tree;

/**
 * The interface for Viterbi parsers.  Viterbi parsers support
 * getBestParse, which returns a best parse of the input, or
 * null if no parse exists.
 *
 * @author Dan Klein
 */

public interface ViterbiParser extends Parser {

  /**
   * Returns a best parse of the last sentence on which parse was
   * called, or null if none exists.
   *
   * @return The tree for the best parse
   */
  public Tree getBestParse();

}