Package org.apache.lucene.analysis.standard

Examples of org.apache.lucene.analysis.standard.StandardFilter.clearAttributes()


   
    if (isStemming()) {
      tokenizer = new StandardTokenizer(Version.LUCENE_35, new StringReader(finalTokenized.toString().trim()));
      tokenStream = new ArabicStemFilter(new ArabicNormalizationFilter(tokenizer));
      CharTermAttribute termAtt = tokenStream.getAttribute(CharTermAttribute.class);
      tokenStream.clearAttributes();
      try {
        while (tokenStream.incrementToken()) {
          String curToken = termAtt.toString();
          if ( vocab != null && vocab.get(curToken) <= 0) {
            countOOV++;
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    if (isStemming()) {
      tokenizer = new StandardTokenizer(Version.LUCENE_35, new StringReader(finalTokenized.toString().trim()));
      tokenStream = new ArabicStemFilter(new ArabicNormalizationFilter(tokenizer));
      CharTermAttribute termAtt = tokenStream.getAttribute(CharTermAttribute.class);
      tokenStream.clearAttributes();
      try {
        while (tokenStream.incrementToken()) {
          String curToken = termAtt.toString();
          if ( vocab != null && vocab.get(curToken) <= 0) {
            countOOV++;
View Full Code Here

    if (isStopwordRemoval) {
      tokenStream = new StopFilter( Version.LUCENE_35, tokenStream, (CharArraySet) TurkishAnalyzer.getDefaultStopSet());
    }

    CharTermAttribute termAtt = tokenStream.getAttribute(CharTermAttribute.class);
    tokenStream.clearAttributes();
    String tokenized = "";
    try {
      while (tokenStream.incrementToken()) {
        String token = termAtt.toString();
        if ( stemmer != null ) {
View Full Code Here

    if (isStopwordRemoval) {
      tokenStream = new StopFilter( Version.LUCENE_35, tokenStream, (CharArraySet) SpanishAnalyzer.getDefaultStopSet());
    }

    CharTermAttribute termAtt = tokenStream.getAttribute(CharTermAttribute.class);
    tokenStream.clearAttributes();
    String tokenized = "";
    try {
      while (tokenStream.incrementToken()) {
        String token = termAtt.toString();
        if ( stemmer != null ) {
View Full Code Here

   
    if (isStemming()) {
      tokenizer = new StandardTokenizer(Version.LUCENE_35, new StringReader(finalTokenized.toString().trim()));
      tokenStream = new ArabicStemFilter(new ArabicNormalizationFilter(tokenizer));
      CharTermAttribute termAtt = tokenStream.getAttribute(CharTermAttribute.class);
      tokenStream.clearAttributes();
      try {
        while (tokenStream.incrementToken()) {
          String curToken = termAtt.toString();
          if ( vocab != null && vocab.get(curToken) <= 0) {
            countOOV++;
View Full Code Here

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