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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;

/**
 * The interface for Viterbi parsers with options.  Viterbi parsers support
 * getBestParse, which returns a best parse of the input, or
 * null if no parse exists.
 *
 * @author Christopher Manning
 */
public interface ViterbiParserWithOptions extends ViterbiParser {

  /**
   * This will set options to a parser, in a way generally equivalent to
   * passing in the same sequence of command-line arguments.  This is a useful
   * convenience method when building a parser programmatically. The options
   * passed in should
   * be specified like command-line arguments, including with an initial
   * minus sign.
   *
   * @param flags Arguments to the parser, for example,
   *              {"-outputFormat", "typedDependencies", "-maxLength", "70"}
   * @throws IllegalArgumentException If an unknown flag is passed in
   */
  public void setOptionFlags(String... flags);

}