Package opennlp.tools.dictionary

Examples of opennlp.tools.dictionary.Dictionary$StringListWrapper

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  static Dictionary loadAbbDictionary() throws IOException {
    InputStream in = SentenceDetectorFactoryTest.class.getClassLoader()
        .getResourceAsStream("opennlp/tools/sentdetect/abb.xml");

    return new Dictionary(in);
  }
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  }

  @Test
  public void testDefault() throws IOException {

    Dictionary dic = loadAbbDictionary();

    char[] eos = { '.', '?' };
    SentenceModel sdModel = train(new SentenceDetectorFactory("en", true, dic,
        eos));
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    assertTrue(Arrays.equals(eos, factory.getEOSCharacters()));
  }

  @Test
  public void testNullDict() throws IOException {
    Dictionary dic = null;

    char[] eos = { '.', '?' };
    SentenceModel sdModel = train(new SentenceDetectorFactory("en", true, dic,
        eos));
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    assertTrue(Arrays.equals(eos, factory.getEOSCharacters()));
  }

  @Test
  public void testDefaultEOS() throws IOException {
    Dictionary dic = null;

    char[] eos = null;
    SentenceModel sdModel = train(new SentenceDetectorFactory("en", true, dic,
        eos));
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  }

  @Test
  public void testDummyFactory() throws IOException {

    Dictionary dic = loadAbbDictionary();

    char[] eos = { '.', '?' };
    SentenceModel sdModel = train(new DummySentenceDetectorFactory("en", true,
        dic, eos));
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        sdModel.getEosCharacters()));
  }

  @Test
  public void testCreateDummyFactory() throws IOException {
    Dictionary dic = loadAbbDictionary();
    char[] eos = { '.', '?' };

    SentenceDetectorFactory factory = SentenceDetectorFactory.create(
        DummySentenceDetectorFactory.class.getCanonicalName(), "es", false,
        dic, eos);
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    public DummyDictionary(Dictionary dict) {
      this.indict = dict;
    }

    public DummyDictionary(InputStream in) throws IOException {
      this.indict = new Dictionary(in);
    }
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  throws IOException {

    Map<String, String> manifestInfoEntries = new HashMap<String, String>();

    System.err.println("Building dictionary");
    Dictionary mdict = buildDictionary(parseSamples, rules, mlParams);

    parseSamples.reset();

    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(
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      System.exit(1);
    }
    ParserEventTypeEnum etype = null;
    boolean fun = false;
    int ai = 0;
    Dictionary dict = null;
    AbstractModel model = null;

    while (ai < args.length && args[ai].startsWith("-")) {
      if (args[ai].equals("-build")) {
        etype = ParserEventTypeEnum.BUILD;
      }
      else if (args[ai].equals("-attach")) {
        etype = ParserEventTypeEnum.ATTACH;
      }
      else if (args[ai].equals("-chunk")) {
        etype = ParserEventTypeEnum.CHUNK;
      }
      else if (args[ai].equals("-check")) {
        etype = ParserEventTypeEnum.CHECK;
      }
      else if (args[ai].equals("-tag")) {
        etype = ParserEventTypeEnum.TAG;
      }
      else if (args[ai].equals("-fun")) {
        fun = true;
      }
      else if (args[ai].equals("-dict")) {
        ai++;
        dict = new Dictionary(new FileInputStream(args[ai]));
      }
      else if (args[ai].equals("-model")) {
        ai++;
        model = (new SuffixSensitiveGISModelReader(new File(args[ai]))).getModel();
      }
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  public static ParserModel train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)
          throws IOException {

    System.err.println("Building dictionary");

    Dictionary mdict = buildDictionary(parseSamples, rules, mlParams);

    parseSamples.reset();

    Map<String, String> manifestInfoEntries = new HashMap<String, String>();
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Related Classes of opennlp.tools.dictionary.Dictionary$StringListWrapper

  • io.lumify.opennlpDictionary.OpenNLPDictionaryExtractorGraphPropertyWorker
  • io.lumify.opennlpDictionary.OpenNLPDictionaryExtractorGraphPropertyWorkerTest
  • opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
  • opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
  • opennlp.tools.cmdline.parser.BuildModelUpdaterTool
  • opennlp.tools.cmdline.parser.CheckModelUpdaterTool
  • opennlp.tools.cmdline.parser.ParserTrainerTool
  • opennlp.tools.cmdline.postag.POSTaggerTrainerTool
  • opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
  • opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
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