org.apache.lucene.analysis.commongrams.CommonGramsFilter Java Examples
The following examples show how to use
org.apache.lucene.analysis.commongrams.CommonGramsFilter.
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Example #1
Source File: CommonGramsTokenFilterFactory.java From Elasticsearch with Apache License 2.0 | 5 votes |
@Override public TokenStream create(TokenStream tokenStream) { CommonGramsFilter filter = new CommonGramsFilter(tokenStream, words); if (queryMode) { return new CommonGramsQueryFilter(filter); } else { return filter; } }
Example #2
Source File: TestRandomChains.java From lucene-solr with Apache License 2.0 | 5 votes |
static Object[] newFilterArgs(Random random, TokenStream stream, Class<?>[] paramTypes) { Object[] args = new Object[paramTypes.length]; for (int i = 0; i < args.length; i++) { Class<?> paramType = paramTypes[i]; if (paramType == TokenStream.class) { args[i] = stream; } else if (paramType == CommonGramsFilter.class) { // TODO: fix this one, thats broken: CommonGramsQueryFilter takes this one explicitly args[i] = new CommonGramsFilter(stream, newRandomArg(random, CharArraySet.class)); } else { args[i] = newRandomArg(random, paramType); } } return args; }
Example #3
Source File: CommonGramsTokenFilterFactory.java From crate with Apache License 2.0 | 5 votes |
@Override public TokenStream create(TokenStream tokenStream) { CommonGramsFilter filter = new CommonGramsFilter(tokenStream, words); if (queryMode) { return new CommonGramsQueryFilter(filter); } else { return filter; } }
Example #4
Source File: CommonAnalysisPlugin.java From crate with Apache License 2.0 | 5 votes |
@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))); // TODO this one seems useless 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; }