Package opennlp.tools.sentdetect

Examples of opennlp.tools.sentdetect.SentenceModel

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     * @throws IOException
     */
    public ApacheExtractor() throws IOException {
        nameFinder = new NameFinderME(new TokenNameFinderModel(ApacheExtractor.class.getResourceAsStream(pathToNERModel)));
        tokenizer = new TokenizerME(new TokenizerModel(ApacheExtractor.class.getResourceAsStream(pathToTokenizerModel)));
        sentenceDetector = new SentenceDetectorME(new SentenceModel(ApacheExtractor.class.getResourceAsStream(pathToSentenceDetectorModel)));
    }
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    System.setProperty("model.dir", "./opennlp-models");
    System.setProperty("wordnet.dir", "./WordNet-3.0");

    File modelFile = new File(models, "en-sent.bin");
    InputStream modelStream = new FileInputStream(modelFile);
    SentenceModel model = new SentenceModel(modelStream);
    sentenceDetector = new SentenceDetectorME(model);
    finders = new HashMap<String, NameFinderME>();
    finders.put("Names", new NameFinderME(new TokenNameFinderModel(
            new FileInputStream(getPersonModel()))));
    finders.put("Dates", new NameFinderME(new TokenNameFinderModel(
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    //<start id="openSentDetect"/>
    //... Setup the models
    File modelFile = new File(modelDir, "en-sent.bin");
    InputStream modelStream = new FileInputStream(modelFile);
    SentenceModel model = new SentenceModel(modelStream);
    SentenceDetector detector = //<co id="openSentDetect.co.detect"/>
      new SentenceDetectorME(model);
    String testString = "This is a sentence. It has fruits, vegetables," +
      " etc. but does not have meat. Mr. Smith went to Washington.";
    String[] result = detector.sentDetect(testString); //<co id="openSentDetect.co.run"/>
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              )));
    }

    File modelFile = new File(modelDir, "en-sent.bin");
    InputStream modelStream = new FileInputStream(modelFile);
    SentenceModel model = new SentenceModel(modelStream);
    detector = new SentenceDetectorME(model);
  }
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    String modelFile = modelDirectory +
        File.separatorChar + language + "-sent.bin";
   
    log.info("Loading sentence model {}", modelFile);
    InputStream modelStream = new FileInputStream(modelFile);
    SentenceModel model = new SentenceModel(modelStream);
    detector = new SentenceDetectorME(model);
  }
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  public void initialize(UimaContext context)
      throws ResourceInitializationException {

    super.initialize(context);

    SentenceModel model;

    try {
      SentenceModelResource modelResource = (SentenceModelResource) context
          .getResourceObject(UimaUtil.MODEL_PARAMETER);
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    return model;
  }

  @Override
  protected SentenceModel loadModel(InputStream in) throws IOException {
    return new SentenceModel(in);
  }
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    if (sampleTraceFile != null) {
        samplesOut = new OutputStreamWriter(new FileOutputStream(sampleTraceFile), sampleTraceFileEncoding);
        samples = new SampleTraceStream<SentenceSample>(samples, samplesOut);
    }
   
    SentenceModel sentenceModel = SentenceDetectorME.train(language, samples,
         sdFactory, mlParams);
   
    // dereference to allow garbage collection
    sentenceSamples = null;
   
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            String message = String.format("Failed to find resource for model"
                    + " sentence detection model: %s", path);
            log.error(message);
            throw new IOException(message);
        }
        model = new SentenceModel(in);
    }
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    return model;
  }

  @Override
  protected SentenceModel loadModel(InputStream in) throws IOException {
    return new SentenceModel(in);
  }
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Related Classes of opennlp.tools.sentdetect.SentenceModel

  • com.bericotech.clavin.extractor.ApacheExtractor
  • com.tamingtext.frankenstein.Frankenstein
  • com.tamingtext.sentences.SentenceDetectionTest
  • com.tamingtext.texttamer.solr.NameFilterTest
  • com.tamingtext.util.SentenceDetectorFactory
  • edu.washington.cs.knowitall.util.DefaultObjects
  • functionality.Models
  • ivory.lsh.bitext.PreprocessHelper
  • kpi.asoiu.parsers.ParseText
  • net.sf.nlpshell.Main
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