Examples with DecimalDigitFilter org.apache.lucene.analysis.core.DecimalDigitFilter used on opensource projects

Example 1 with DecimalDigitFilter

use of org.apache.lucene.analysis.core.DecimalDigitFilter in project lucene-solr by apache.

the class ThaiAnalyzer method normalize.

@Override
protected TokenStream normalize(String fieldName, TokenStream in) {
    TokenStream result = new LowerCaseFilter(in);
    result = new DecimalDigitFilter(result);
    return result;
}

Example 2 with DecimalDigitFilter

use of org.apache.lucene.analysis.core.DecimalDigitFilter in project lucene-solr by apache.

the class ArabicAnalyzer method createComponents.

/**
   * Creates
   * {@link org.apache.lucene.analysis.Analyzer.TokenStreamComponents}
   * used to tokenize all the text in the provided {@link Reader}.
   * 
   * @return {@link org.apache.lucene.analysis.Analyzer.TokenStreamComponents}
   *         built from an {@link StandardTokenizer} filtered with
   *         {@link LowerCaseFilter}, {@link DecimalDigitFilter}, {@link StopFilter},
   *         {@link ArabicNormalizationFilter}, {@link SetKeywordMarkerFilter}
   *         if a stem exclusion set is provided and {@link ArabicStemFilter}.
   */
@Override
protected TokenStreamComponents createComponents(String fieldName) {
    final Tokenizer source = new StandardTokenizer();
    TokenStream result = new LowerCaseFilter(source);
    result = new DecimalDigitFilter(result);
    // the order here is important: the stopword list is not normalized!
    result = new StopFilter(result, stopwords);
    // TODO maybe we should make ArabicNormalization filter also KeywordAttribute aware?!
    result = new ArabicNormalizationFilter(result);
    if (!stemExclusionSet.isEmpty()) {
        result = new SetKeywordMarkerFilter(result, stemExclusionSet);
    }
    return new TokenStreamComponents(source, new ArabicStemFilter(result));
}

Example 3 with DecimalDigitFilter

use of org.apache.lucene.analysis.core.DecimalDigitFilter in project lucene-solr by apache.

the class ArabicAnalyzer method normalize.

@Override
protected TokenStream normalize(String fieldName, TokenStream in) {
    TokenStream result = new LowerCaseFilter(in);
    result = new DecimalDigitFilter(result);
    result = new ArabicNormalizationFilter(result);
    return result;
}

Example 4 with DecimalDigitFilter

use of org.apache.lucene.analysis.core.DecimalDigitFilter in project lucene-solr by apache.

the class HindiAnalyzer method normalize.

@Override
protected TokenStream normalize(String fieldName, TokenStream in) {
    TokenStream result = new StandardFilter(in);
    result = new LowerCaseFilter(result);
    result = new DecimalDigitFilter(result);
    result = new IndicNormalizationFilter(result);
    result = new HindiNormalizationFilter(result);
    return result;
}

Example 5 with DecimalDigitFilter

use of org.apache.lucene.analysis.core.DecimalDigitFilter in project lucene-solr by apache.

the class HindiAnalyzer method createComponents.

/**
   * Creates
   * {@link org.apache.lucene.analysis.Analyzer.TokenStreamComponents}
   * used to tokenize all the text in the provided {@link Reader}.
   * 
   * @return {@link org.apache.lucene.analysis.Analyzer.TokenStreamComponents}
   *         built from a {@link StandardTokenizer} filtered with
   *         {@link LowerCaseFilter}, {@link DecimalDigitFilter}, {@link IndicNormalizationFilter},
   *         {@link HindiNormalizationFilter}, {@link SetKeywordMarkerFilter}
   *         if a stem exclusion set is provided, {@link HindiStemFilter}, and
   *         Hindi Stop words
   */
@Override
protected TokenStreamComponents createComponents(String fieldName) {
    final Tokenizer source = new StandardTokenizer();
    TokenStream result = new LowerCaseFilter(source);
    result = new DecimalDigitFilter(result);
    if (!stemExclusionSet.isEmpty())
        result = new SetKeywordMarkerFilter(result, stemExclusionSet);
    result = new IndicNormalizationFilter(result);
    result = new HindiNormalizationFilter(result);
    result = new StopFilter(result, stopwords);
    result = new HindiStemFilter(result);
    return new TokenStreamComponents(source, result);
}