Examples with CJKWidthFilter org.apache.lucene.analysis.cjk.CJKWidthFilter used on opensource projects

Example 1 with CJKWidthFilter

use of org.apache.lucene.analysis.cjk.CJKWidthFilter in project lucene-solr by apache.

the class JapaneseAnalyzer method normalize.

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

Example 2 with CJKWidthFilter

use of org.apache.lucene.analysis.cjk.CJKWidthFilter in project lucene-solr by apache.

the class JapaneseAnalyzer method createComponents.

@Override
protected TokenStreamComponents createComponents(String fieldName) {
    Tokenizer tokenizer = new JapaneseTokenizer(userDict, true, mode);
    TokenStream stream = new JapaneseBaseFormFilter(tokenizer);
    stream = new JapanesePartOfSpeechStopFilter(stream, stoptags);
    stream = new CJKWidthFilter(stream);
    stream = new StopFilter(stream, stopwords);
    stream = new JapaneseKatakanaStemFilter(stream);
    stream = new LowerCaseFilter(stream);
    return new TokenStreamComponents(tokenizer, stream);
}

Example 3 with CJKWidthFilter

use of org.apache.lucene.analysis.cjk.CJKWidthFilter in project lucene-solr by apache.

the class TestJapaneseReadingFormFilter method testKatakanaReadingsHalfWidth.

public void testKatakanaReadingsHalfWidth() throws IOException {
    Analyzer a = new Analyzer() {

        @Override
        protected TokenStreamComponents createComponents(String fieldName) {
            Tokenizer tokenizer = new JapaneseTokenizer(newAttributeFactory(), null, true, JapaneseTokenizer.Mode.SEARCH);
            TokenStream stream = new CJKWidthFilter(tokenizer);
            return new TokenStreamComponents(tokenizer, new JapaneseReadingFormFilter(stream, false));
        }
    };
    assertAnalyzesTo(a, "今夜はﾛﾊﾞｰﾄ先生と話した", new String[] { "コンヤ", "ハ", "ロバート", "センセイ", "ト", "ハナシ", "タ" });
    a.close();
}

Example 4 with CJKWidthFilter

use of org.apache.lucene.analysis.cjk.CJKWidthFilter in project lucene-solr by apache.

the class TestJapaneseReadingFormFilter method testRomajiReadingsHalfWidth.

public void testRomajiReadingsHalfWidth() throws IOException {
    Analyzer a = new Analyzer() {

        @Override
        protected TokenStreamComponents createComponents(String fieldName) {
            Tokenizer tokenizer = new JapaneseTokenizer(newAttributeFactory(), null, true, JapaneseTokenizer.Mode.SEARCH);
            TokenStream stream = new CJKWidthFilter(tokenizer);
            return new TokenStreamComponents(tokenizer, new JapaneseReadingFormFilter(stream, true));
        }
    };
    assertAnalyzesTo(a, "今夜はﾛﾊﾞｰﾄ先生と話した", new String[] { "kon'ya", "ha", "robato", "sensei", "to", "hanashi", "ta" });
    a.close();
}

Example 5 with CJKWidthFilter

use of org.apache.lucene.analysis.cjk.CJKWidthFilter in project crate by crate.

the class CommonAnalysisPlugin method getPreConfiguredTokenFilters.

@Override
public List<PreConfiguredTokenFilter> getPreConfiguredTokenFilters() {
    List<PreConfiguredTokenFilter> filters = new ArrayList<>();
    filters.add(PreConfiguredTokenFilter.singleton("apostrophe", false, ApostropheFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("arabic_normalization", true, ArabicNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("arabic_stem", false, ArabicStemFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("asciifolding", true, ASCIIFoldingFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("bengali_normalization", true, BengaliNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("brazilian_stem", false, BrazilianStemFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("cjk_bigram", false, CJKBigramFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("cjk_width", true, CJKWidthFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("classic", false, ClassicFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("common_grams", false, input -> new CommonGramsFilter(input, CharArraySet.EMPTY_SET)));
    filters.add(PreConfiguredTokenFilter.singleton("czech_stem", false, CzechStemFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("decimal_digit", true, DecimalDigitFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("delimited_payload_filter", false, input -> new DelimitedPayloadTokenFilter(input, DelimitedPayloadTokenFilterFactory.DEFAULT_DELIMITER, DelimitedPayloadTokenFilterFactory.DEFAULT_ENCODER)));
    filters.add(PreConfiguredTokenFilter.singleton("delimited_payload", false, input -> new DelimitedPayloadTokenFilter(input, DelimitedPayloadTokenFilterFactory.DEFAULT_DELIMITER, DelimitedPayloadTokenFilterFactory.DEFAULT_ENCODER)));
    filters.add(PreConfiguredTokenFilter.singleton("dutch_stem", false, input -> new SnowballFilter(input, new DutchStemmer())));
    filters.add(PreConfiguredTokenFilter.singleton("edge_ngram", false, input -> new EdgeNGramTokenFilter(input, EdgeNGramTokenFilterFactory.SIDE_FRONT, EdgeNGramTokenFilterFactory.SIDE_BACK, EdgeNGramTokenFilter.DEFAULT_PRESERVE_ORIGINAL)));
    filters.add(PreConfiguredTokenFilter.singleton("elision", true, input -> new ElisionFilter(input, FrenchAnalyzer.DEFAULT_ARTICLES)));
    filters.add(PreConfiguredTokenFilter.singleton("french_stem", false, input -> new SnowballFilter(input, new FrenchStemmer())));
    filters.add(PreConfiguredTokenFilter.singleton("german_normalization", true, GermanNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("german_stem", false, GermanStemFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("hindi_normalization", true, HindiNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("indic_normalization", true, IndicNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("keyword_repeat", false, KeywordRepeatFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("kstem", false, KStemFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("length", false, input -> new LengthFilter(input, 0, Integer.MAX_VALUE)));
    filters.add(PreConfiguredTokenFilter.singleton("limit", false, input -> new LimitTokenCountFilter(input, LimitTokenCountFilterFactory.DEFAULT_MAX_TOKEN_COUNT, LimitTokenCountFilterFactory.DEFAULT_CONSUME_ALL_TOKENS)));
    filters.add(PreConfiguredTokenFilter.singleton("ngram", false, reader -> new NGramTokenFilter(reader, 1, 2, false)));
    filters.add(PreConfiguredTokenFilter.singleton("persian_normalization", true, PersianNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("porter_stem", false, PorterStemFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("reverse", false, ReverseStringFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("russian_stem", false, input -> new SnowballFilter(input, "Russian")));
    filters.add(PreConfiguredTokenFilter.singleton("scandinavian_folding", true, ScandinavianFoldingFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("scandinavian_normalization", true, ScandinavianNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("shingle", false, input -> {
        TokenStream ts = new ShingleFilter(input);
        /**
         * We disable the graph analysis on this token stream
         * because it produces shingles of different size.
         * Graph analysis on such token stream is useless and dangerous as it may create too many paths
         * since shingles of different size are not aligned in terms of positions.
         */
        ts.addAttribute(DisableGraphAttribute.class);
        return ts;
    }));
    filters.add(PreConfiguredTokenFilter.singleton("snowball", false, input -> new SnowballFilter(input, "English")));
    filters.add(PreConfiguredTokenFilter.singleton("sorani_normalization", true, SoraniNormalizationFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("stemmer", false, PorterStemFilter::new));
    // The stop filter is in lucene-core but the English stop words set is in lucene-analyzers-common
    filters.add(PreConfiguredTokenFilter.singleton("stop", false, input -> new StopFilter(input, EnglishAnalyzer.ENGLISH_STOP_WORDS_SET)));
    filters.add(PreConfiguredTokenFilter.singleton("trim", true, TrimFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("truncate", false, input -> new TruncateTokenFilter(input, 10)));
    filters.add(PreConfiguredTokenFilter.singleton("type_as_payload", false, TypeAsPayloadTokenFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("unique", false, UniqueTokenFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("uppercase", true, UpperCaseFilter::new));
    filters.add(PreConfiguredTokenFilter.singleton("word_delimiter", false, input -> new WordDelimiterFilter(input, WordDelimiterFilter.GENERATE_WORD_PARTS | WordDelimiterFilter.GENERATE_NUMBER_PARTS | WordDelimiterFilter.SPLIT_ON_CASE_CHANGE | WordDelimiterFilter.SPLIT_ON_NUMERICS | WordDelimiterFilter.STEM_ENGLISH_POSSESSIVE, null)));
    filters.add(PreConfiguredTokenFilter.singleton("word_delimiter_graph", false, input -> new WordDelimiterGraphFilter(input, WordDelimiterGraphFilter.GENERATE_WORD_PARTS | WordDelimiterGraphFilter.GENERATE_NUMBER_PARTS | WordDelimiterGraphFilter.SPLIT_ON_CASE_CHANGE | WordDelimiterGraphFilter.SPLIT_ON_NUMERICS | WordDelimiterGraphFilter.STEM_ENGLISH_POSSESSIVE, null)));
    return filters;
}