Examples of SentenceDetectorME

opennlp.tools.sentdetect.SentenceDetectorME
A sentence detector for splitting up raw text into sentences.
A maximum entropy model is used to evaluate the characters ".", "!", and "?" in a string to determine if they signify the end of a sentence.

Examples of opennlp.tools.sentdetect.SentenceDetectorME

    }


    FileSystem localFs = FileSystem.getLocal(conf);
    InputStream modelIn = localFs.open(pathMapping.get(sentDetectorFile));
    SentenceModel model = new SentenceModel(modelIn);
    eModel = new SentenceDetectorME(model);
    sLogger.info("Sentence model created successfully.");


    FileSystem fs = FileSystem.get(conf);   
    RetrievalEnvironment env = new RetrievalEnvironment(eDir, fs);
    sLogger.info("Environment created successfully.");

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

    //    FileSystem fs = FileSystem.get(conf);
    FileSystem localFs = FileSystem.getLocal(conf);


    InputStream modelIn = localFs.open(new Path(conf.get("eSentDetectorFile")));
    SentenceModel model = new SentenceModel(modelIn);
    fModel = new SentenceDetectorME(model);
    sLogger.info("Sentence model created successfully.");


    eVocabSrc = (VocabularyWritable) HadoopAlign.loadVocab(new Path(conf.get("eVocabSrcFile")), localFs);
    eVocabTrg = (VocabularyWritable) HadoopAlign.loadVocab(new Path(conf.get("eVocabTrgFile")), localFs);
    fVocabSrc = (VocabularyWritable) HadoopAlign.loadVocab(new Path(conf.get("fVocabSrcFile")), localFs);

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

    sLogger.info("Loading models for " + eLang + " ...");


    FileSystem localFs = FileSystem.getLocal(conf);
    InputStream modelIn = localFs.open(new Path(conf.get("fSentDetectorFile")));
    SentenceModel model = new SentenceModel(modelIn);
    eModel = new SentenceDetectorME(model);
    sLogger.info("Sentence model created successfully.");


    //    FileSystem fs = FileSystem.get(conf);   
    RetrievalEnvironment env = new RetrievalEnvironment(eDir, localFs);
    sLogger.info("Environment created successfully.");

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

    private SentenceDetector initSentence(String language) {
        SentenceDetector sentDetect;
        try {
            SentenceModel sentModel = openNLP.getSentenceModel(language);
            if(sentModel != null){
                sentDetect = new SentenceDetectorME(sentModel);
            } else {
                log.debug("No Sentence Detection Model for language {}",language);
                sentDetect = null;
            }
        } catch (IOException e) {

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

        // version with explicit sentence endings to reflect heading / paragraph
        // structure of an HTML or PDF document converted to text
        String textWithDots = text.replaceAll("\\n\\n", ".\n");
        text = removeNonUtf8CompliantCharacters(text);


        SentenceDetectorME sentenceDetector = new SentenceDetectorME(getSentenceModel("en"));


        Span[] sentenceSpans = sentenceDetector.sentPosDetect(textWithDots);


        NameFinderME finder = new NameFinderME(nameFinderModel);
        Tokenizer tokenizer = SimpleTokenizer.INSTANCE;
        Map<String,List<NameOccurrence>> nameOccurrences = new LinkedHashMap<String,List<NameOccurrence>>();
        for (int i = 0; i < sentenceSpans.length; i++) {

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

        }
        if(sentenceDetector == null && !sentenceDetectorNotAvailable){
            try {
                SentenceModel sentModel = openNLP.getSentenceModel(language);
                if(sentModel != null){
                    sentenceDetector = new SentenceDetectorME(sentModel);
                } else {
                    log.debug("No Sentence Detection Model for language '{}'",language);
                    sentenceDetectorNotAvailable = true;
                }
            } catch (IOException e) {

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

    
    File trainingDataInFile = new File(CmdLineUtil.getParameter("-data", args));
    CmdLineUtil.checkInputFile("Training Data", trainingDataInFile);
    
    opennlp.tools.sentdetect.SentenceDetectorEvaluator evaluator = 
        new opennlp.tools.sentdetect.SentenceDetectorEvaluator(new SentenceDetectorME(model));
    
    System.out.print("Evaluating ... ");
      ObjectStream<SentenceSample> sampleStream = SentenceDetectorTrainerTool.openSampleData("Test",
          trainingDataInFile, encoding);

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

    String paragraph = "can you find a plain-text file that is called \u201Cpippo\u201D ?";
    int numParses = 5;


    // the sentence detector and tokenizer constructors
    // take paths to their respective models
    SentenceDetectorME sdetector = new SentenceDetectorME(
        new SentenceModel(new FileInputStream(
            "models/en-sent.bin")));
    Tokenizer tokenizer = new TokenizerME(new TokenizerModel(
        new FileInputStream("models/en-token.bin")));


    // the parser takes the path to the parser models
    // directory and a few other options
    /*
     * boolean useTagDict = true; boolean useCaseInsensitiveTagDict = false;
     * int beamSize = opennlp.tools.parser.chunking.Parser.defaultBeamSize;
     * double advancePercentage =
     * opennlp.tools.parser.chunking.Parser.defaultAdvancePercentage;
     * opennlp.tools.parser.Parser parser = TreebankParser.getParser(
     * "models/parser", useTagDict, useCaseInsensitiveTagDict, beamSize,
     * advancePercentage);
     */Parser parser = ParserFactory.create(new ParserModel(
        new FileInputStream("models/en-parser-chunking.bin")),
        AbstractBottomUpParser.defaultBeamSize,
        AbstractBottomUpParser.defaultAdvancePercentage);


    // break a paragraph into sentences
    String[] sents = sdetector.sentDetect(paragraph.toString());


    // TODO handle paragraph (multiple sentences)
    String sent = sents[0];


    // tokenize brackets and parentheses by putting a space on either side.

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Examples of opennlp.tools.sentdetect.SentenceDetectorME

   * @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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Examples of opennlp.tools.sentdetect.SentenceDetectorME

            if(model != null) {
                log.debug("Sentence Detection Model {} for lanugage '{}' version: {}",
                    new Object[]{model.getClass().getSimpleName(), 
                                 model.getLanguage(), 
                                 model.getVersion() != null ? model.getVersion() : "undefined"});
                return new SentenceDetectorME(model);
            }
        } catch (Exception e) {
        }
        log.debug("Sentence Detection Model for Language '{}' not available.", language);
        return null;

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