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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.wordseg;


import edu.stanford.nlp.util.logging.Redwood;

import edu.stanford.nlp.sequences.SeqClassifierFlags;

public class NonDict2  {

  //public String sighanCorporaDict = "/u/nlp/data/chinese-segmenter/";
  public String corporaDict = "/u/nlp/data/gale/segtool/stanford-seg/data/";
  private static CorpusDictionary cd = null;

  private static Redwood.RedwoodChannels logger = Redwood.channels(NonDict2.class);

  public NonDict2(SeqClassifierFlags flags) {
    if (cd == null) {

      if (flags.sighanCorporaDict != null) {
        corporaDict = flags.sighanCorporaDict; // use the same flag for Sighan 2005,
        // but our list is extracted from ctb
      }
      String path;
      if (flags.useAs || flags.useHk || flags.useMsr) {
        throw new RuntimeException("only support settings for CTB and PKU now.");
      } else if ( flags.usePk ) {
        path = corporaDict+"/dict/pku.non";
      } else { // CTB
        path = corporaDict+"/dict/ctb.non";
      }

      cd = new CorpusDictionary(path);
      // just output the msg...
      if (flags.useAs || flags.useHk || flags.useMsr) {
      } else if ( flags.usePk ) {
        logger.info("INFO: flags.usePk=true | building NonDict2 from "+path);
      } else { // CTB
        logger.info("INFO: flags.usePk=false | building NonDict2 from "+path);
      }
    }
  }

  public String checkDic(String c2, SeqClassifierFlags flags) {
    if (cd.getW(c2).equals("1")) {
      return "1";
    } 
    return "0";
  }

}