use of org.apache.lucene.analysis.LowerCaseFilter in project crate by crate.
the class AnalysisModule method setupPreConfiguredTokenFilters.
static Map<String, PreConfiguredTokenFilter> setupPreConfiguredTokenFilters(List<AnalysisPlugin> plugins) {
NamedRegistry<PreConfiguredTokenFilter> preConfiguredTokenFilters = new NamedRegistry<>("pre-configured token_filter");
// Add filters available in lucene-core
preConfiguredTokenFilters.register("lowercase", PreConfiguredTokenFilter.singleton("lowercase", true, LowerCaseFilter::new));
preConfiguredTokenFilters.register("standard", PreConfiguredTokenFilter.singletonWithVersion("standard", false, (reader, version) -> {
DEPRECATION_LOGGER.deprecatedAndMaybeLog("standard_deprecation", "The [standard] token filter is deprecated and will be removed in a future version.");
return reader;
}));
for (AnalysisPlugin plugin : plugins) {
for (PreConfiguredTokenFilter filter : plugin.getPreConfiguredTokenFilters()) {
preConfiguredTokenFilters.register(filter.getName(), filter);
}
}
return unmodifiableMap(preConfiguredTokenFilters.getRegistry());
}
use of org.apache.lucene.analysis.LowerCaseFilter in project Anserini by castorini.
the class DefaultEnglishAnalyzer method createComponents.
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer source = new StandardTokenizer();
TokenStream result;
result = source;
result = new EnglishPossessiveFilter(result);
result = new LowerCaseFilter(result);
result = new StopFilter(result, this.stopwords);
if (!this.stemExclusionSet.isEmpty()) {
result = new SetKeywordMarkerFilter(result, this.stemExclusionSet);
}
if (stem) {
if (this.stemmer.compareToIgnoreCase("porter") == 0 || this.stemmer.compareToIgnoreCase("p") == 0) {
result = new PorterStemFilter(result);
} else if (this.stemmer.compareToIgnoreCase("krovetz") == 0 || this.stemmer.compareToIgnoreCase("k") == 0) {
result = new KStemFilter(result);
}
}
return new TokenStreamComponents(source, result);
}
use of org.apache.lucene.analysis.LowerCaseFilter in project Anserini by castorini.
the class DefaultEnglishAnalyzer method normalize.
protected TokenStream normalize(String fieldName, TokenStream in) {
TokenStream result = in;
result = new LowerCaseFilter(result);
return result;
}
use of org.apache.lucene.analysis.LowerCaseFilter in project elasticsearch by elastic.
the class NoisyChannelSpellCheckerTests method testNgram.
public void testNgram() throws IOException {
RAMDirectory dir = new RAMDirectory();
Map<String, Analyzer> mapping = new HashMap<>();
mapping.put("body_ngram", new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer t = new StandardTokenizer();
ShingleFilter tf = new ShingleFilter(t, 2, 3);
tf.setOutputUnigrams(false);
return new TokenStreamComponents(t, new LowerCaseFilter(tf));
}
});
mapping.put("body", new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer t = new StandardTokenizer();
return new TokenStreamComponents(t, new LowerCaseFilter(t));
}
});
PerFieldAnalyzerWrapper wrapper = new PerFieldAnalyzerWrapper(new WhitespaceAnalyzer(), mapping);
IndexWriterConfig conf = new IndexWriterConfig(wrapper);
IndexWriter writer = new IndexWriter(dir, conf);
String[] strings = new String[] { "Xorr the God-Jewel", "Grog the God-Crusher", "Xorn", "Walter Newell", "Wanda Maximoff", "Captain America", "American Ace", "USA Hero", "Wundarr the Aquarian", "Will o' the Wisp", "Xemnu the Titan", "Fantastic Four", "Quasar", "Quasar II" };
for (String line : strings) {
Document doc = new Document();
doc.add(new Field("body", line, TextField.TYPE_NOT_STORED));
doc.add(new Field("body_ngram", line, TextField.TYPE_NOT_STORED));
writer.addDocument(doc);
}
DirectoryReader ir = DirectoryReader.open(writer);
WordScorer wordScorer = new LaplaceScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.95d, new BytesRef(" "), 0.5f);
NoisyChannelSpellChecker suggester = new NoisyChannelSpellChecker();
DirectSpellChecker spellchecker = new DirectSpellChecker();
spellchecker.setMinQueryLength(1);
DirectCandidateGenerator generator = new DirectCandidateGenerator(spellchecker, "body", SuggestMode.SUGGEST_MORE_POPULAR, ir, 0.95, 5);
Result result = suggester.getCorrections(wrapper, new BytesRef("american ame"), generator, 1, 1, ir, "body", wordScorer, 1, 2);
Correction[] corrections = result.corrections;
assertThat(corrections.length, equalTo(1));
assertThat(corrections[0].join(space).utf8ToString(), equalTo("american ace"));
assertThat(corrections[0].join(space, preTag, postTag).utf8ToString(), equalTo("american <em>ace</em>"));
assertThat(result.cutoffScore, greaterThan(0d));
result = suggester.getCorrections(wrapper, new BytesRef("american ame"), generator, 1, 1, ir, "body", wordScorer, 0, 1);
corrections = result.corrections;
assertThat(corrections.length, equalTo(1));
assertThat(corrections[0].join(space).utf8ToString(), equalTo("american ame"));
assertThat(corrections[0].join(space, preTag, postTag).utf8ToString(), equalTo("american ame"));
assertThat(result.cutoffScore, equalTo(Double.MIN_VALUE));
suggester = new NoisyChannelSpellChecker(0.85);
wordScorer = new LaplaceScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.85d, new BytesRef(" "), 0.5f);
corrections = suggester.getCorrections(wrapper, new BytesRef("Xor the Got-Jewel"), generator, 0.5f, 4, ir, "body", wordScorer, 0, 2).corrections;
assertThat(corrections.length, equalTo(4));
assertThat(corrections[0].join(space).utf8ToString(), equalTo("xorr the god jewel"));
assertThat(corrections[1].join(space).utf8ToString(), equalTo("xor the god jewel"));
assertThat(corrections[2].join(space).utf8ToString(), equalTo("xorn the god jewel"));
assertThat(corrections[3].join(space).utf8ToString(), equalTo("xorr the got jewel"));
assertThat(corrections[0].join(space, preTag, postTag).utf8ToString(), equalTo("<em>xorr</em> the <em>god</em> jewel"));
assertThat(corrections[1].join(space, preTag, postTag).utf8ToString(), equalTo("xor the <em>god</em> jewel"));
assertThat(corrections[2].join(space, preTag, postTag).utf8ToString(), equalTo("<em>xorn</em> the <em>god</em> jewel"));
assertThat(corrections[3].join(space, preTag, postTag).utf8ToString(), equalTo("<em>xorr</em> the got jewel"));
corrections = suggester.getCorrections(wrapper, new BytesRef("Xor the Got-Jewel"), generator, 0.5f, 4, ir, "body", wordScorer, 1, 2).corrections;
assertThat(corrections.length, equalTo(4));
assertThat(corrections[0].join(space).utf8ToString(), equalTo("xorr the god jewel"));
assertThat(corrections[1].join(space).utf8ToString(), equalTo("xor the god jewel"));
assertThat(corrections[2].join(space).utf8ToString(), equalTo("xorn the god jewel"));
assertThat(corrections[3].join(space).utf8ToString(), equalTo("xorr the got jewel"));
// Test some of the highlighting corner cases
suggester = new NoisyChannelSpellChecker(0.85);
wordScorer = new LaplaceScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.85d, new BytesRef(" "), 0.5f);
corrections = suggester.getCorrections(wrapper, new BytesRef("Xor teh Got-Jewel"), generator, 4f, 4, ir, "body", wordScorer, 1, 2).corrections;
assertThat(corrections.length, equalTo(4));
assertThat(corrections[0].join(space).utf8ToString(), equalTo("xorr the god jewel"));
assertThat(corrections[1].join(space).utf8ToString(), equalTo("xor the god jewel"));
assertThat(corrections[2].join(space).utf8ToString(), equalTo("xorn the god jewel"));
assertThat(corrections[3].join(space).utf8ToString(), equalTo("xor teh god jewel"));
assertThat(corrections[0].join(space, preTag, postTag).utf8ToString(), equalTo("<em>xorr the god</em> jewel"));
assertThat(corrections[1].join(space, preTag, postTag).utf8ToString(), equalTo("xor <em>the god</em> jewel"));
assertThat(corrections[2].join(space, preTag, postTag).utf8ToString(), equalTo("<em>xorn the god</em> jewel"));
assertThat(corrections[3].join(space, preTag, postTag).utf8ToString(), equalTo("xor teh <em>god</em> jewel"));
// test synonyms
Analyzer analyzer = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer t = new StandardTokenizer();
TokenFilter filter = new LowerCaseFilter(t);
try {
SolrSynonymParser parser = new SolrSynonymParser(true, false, new WhitespaceAnalyzer());
parser.parse(new StringReader("usa => usa, america, american"));
filter = new SynonymFilter(filter, parser.build(), true);
} catch (Exception e) {
throw new RuntimeException(e);
}
return new TokenStreamComponents(t, filter);
}
};
spellchecker.setAccuracy(0.0f);
spellchecker.setMinPrefix(1);
spellchecker.setMinQueryLength(1);
suggester = new NoisyChannelSpellChecker(0.85);
wordScorer = new LaplaceScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.85d, new BytesRef(" "), 0.5f);
corrections = suggester.getCorrections(analyzer, new BytesRef("captian usa"), generator, 2, 4, ir, "body", wordScorer, 1, 2).corrections;
assertThat(corrections[0].join(space).utf8ToString(), equalTo("captain america"));
assertThat(corrections[0].join(space, preTag, postTag).utf8ToString(), equalTo("<em>captain america</em>"));
generator = new DirectCandidateGenerator(spellchecker, "body", SuggestMode.SUGGEST_MORE_POPULAR, ir, 0.85, 10, null, analyzer, MultiFields.getTerms(ir, "body"));
corrections = suggester.getCorrections(analyzer, new BytesRef("captian usw"), generator, 2, 4, ir, "body", wordScorer, 1, 2).corrections;
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("captain america"));
assertThat(corrections[0].join(space, preTag, postTag).utf8ToString(), equalTo("<em>captain america</em>"));
// Make sure that user supplied text is not marked as highlighted in the presence of a synonym filter
generator = new DirectCandidateGenerator(spellchecker, "body", SuggestMode.SUGGEST_MORE_POPULAR, ir, 0.85, 10, null, analyzer, MultiFields.getTerms(ir, "body"));
corrections = suggester.getCorrections(analyzer, new BytesRef("captain usw"), generator, 2, 4, ir, "body", wordScorer, 1, 2).corrections;
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("captain america"));
assertThat(corrections[0].join(space, preTag, postTag).utf8ToString(), equalTo("captain <em>america</em>"));
}
use of org.apache.lucene.analysis.LowerCaseFilter in project elasticsearch by elastic.
the class NoisyChannelSpellCheckerTests method testTrigram.
public void testTrigram() throws IOException {
RAMDirectory dir = new RAMDirectory();
Map<String, Analyzer> mapping = new HashMap<>();
mapping.put("body_ngram", new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer t = new StandardTokenizer();
ShingleFilter tf = new ShingleFilter(t, 2, 3);
tf.setOutputUnigrams(false);
return new TokenStreamComponents(t, new LowerCaseFilter(tf));
}
});
mapping.put("body", new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer t = new StandardTokenizer();
return new TokenStreamComponents(t, new LowerCaseFilter(t));
}
});
PerFieldAnalyzerWrapper wrapper = new PerFieldAnalyzerWrapper(new WhitespaceAnalyzer(), mapping);
IndexWriterConfig conf = new IndexWriterConfig(wrapper);
IndexWriter writer = new IndexWriter(dir, conf);
String[] strings = new String[] { "Xorr the God-Jewel", "Grog the God-Crusher", "Xorn", "Walter Newell", "Wanda Maximoff", "Captain America", "American Ace", "USA Hero", "Wundarr the Aquarian", "Will o' the Wisp", "Xemnu the Titan", "Fantastic Four", "Quasar", "Quasar II" };
for (String line : strings) {
Document doc = new Document();
doc.add(new Field("body", line, TextField.TYPE_NOT_STORED));
doc.add(new Field("body_ngram", line, TextField.TYPE_NOT_STORED));
writer.addDocument(doc);
}
DirectoryReader ir = DirectoryReader.open(writer);
WordScorer wordScorer = new LinearInterpolatingScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.85d, new BytesRef(" "), 0.5, 0.4, 0.1);
NoisyChannelSpellChecker suggester = new NoisyChannelSpellChecker();
DirectSpellChecker spellchecker = new DirectSpellChecker();
spellchecker.setMinQueryLength(1);
DirectCandidateGenerator generator = new DirectCandidateGenerator(spellchecker, "body", SuggestMode.SUGGEST_MORE_POPULAR, ir, 0.95, 5);
Correction[] corrections = suggester.getCorrections(wrapper, new BytesRef("american ame"), generator, 1, 1, ir, "body", wordScorer, 1, 3).corrections;
assertThat(corrections.length, equalTo(1));
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("american ace"));
corrections = suggester.getCorrections(wrapper, new BytesRef("american ame"), generator, 1, 1, ir, "body", wordScorer, 1, 1).corrections;
assertThat(corrections.length, equalTo(0));
// assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("american ape"));
wordScorer = new LinearInterpolatingScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.85d, new BytesRef(" "), 0.5, 0.4, 0.1);
corrections = suggester.getCorrections(wrapper, new BytesRef("Xor the Got-Jewel"), generator, 0.5f, 4, ir, "body", wordScorer, 0, 3).corrections;
assertThat(corrections.length, equalTo(4));
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("xorr the god jewel"));
assertThat(corrections[1].join(new BytesRef(" ")).utf8ToString(), equalTo("xor the god jewel"));
assertThat(corrections[2].join(new BytesRef(" ")).utf8ToString(), equalTo("xorn the god jewel"));
assertThat(corrections[3].join(new BytesRef(" ")).utf8ToString(), equalTo("xorr the got jewel"));
corrections = suggester.getCorrections(wrapper, new BytesRef("Xor the Got-Jewel"), generator, 0.5f, 4, ir, "body", wordScorer, 1, 3).corrections;
assertThat(corrections.length, equalTo(4));
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("xorr the god jewel"));
assertThat(corrections[1].join(new BytesRef(" ")).utf8ToString(), equalTo("xor the god jewel"));
assertThat(corrections[2].join(new BytesRef(" ")).utf8ToString(), equalTo("xorn the god jewel"));
assertThat(corrections[3].join(new BytesRef(" ")).utf8ToString(), equalTo("xorr the got jewel"));
corrections = suggester.getCorrections(wrapper, new BytesRef("Xor the Got-Jewel"), generator, 0.5f, 1, ir, "body", wordScorer, 100, 3).corrections;
assertThat(corrections.length, equalTo(1));
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("xorr the god jewel"));
// test synonyms
Analyzer analyzer = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer t = new StandardTokenizer();
TokenFilter filter = new LowerCaseFilter(t);
try {
SolrSynonymParser parser = new SolrSynonymParser(true, false, new WhitespaceAnalyzer());
parser.parse(new StringReader("usa => usa, america, american"));
filter = new SynonymFilter(filter, parser.build(), true);
} catch (Exception e) {
throw new RuntimeException(e);
}
return new TokenStreamComponents(t, filter);
}
};
spellchecker.setAccuracy(0.0f);
spellchecker.setMinPrefix(1);
spellchecker.setMinQueryLength(1);
suggester = new NoisyChannelSpellChecker(0.95);
wordScorer = new LinearInterpolatingScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.95d, new BytesRef(" "), 0.5, 0.4, 0.1);
corrections = suggester.getCorrections(analyzer, new BytesRef("captian usa"), generator, 2, 4, ir, "body", wordScorer, 1, 3).corrections;
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("captain america"));
generator = new DirectCandidateGenerator(spellchecker, "body", SuggestMode.SUGGEST_MORE_POPULAR, ir, 0.95, 10, null, analyzer, MultiFields.getTerms(ir, "body"));
corrections = suggester.getCorrections(analyzer, new BytesRef("captian usw"), generator, 2, 4, ir, "body", wordScorer, 1, 3).corrections;
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("captain america"));
wordScorer = new StupidBackoffScorer(ir, MultiFields.getTerms(ir, "body_ngram"), "body_ngram", 0.85d, new BytesRef(" "), 0.4);
corrections = suggester.getCorrections(wrapper, new BytesRef("Xor the Got-Jewel"), generator, 0.5f, 2, ir, "body", wordScorer, 0, 3).corrections;
assertThat(corrections.length, equalTo(2));
assertThat(corrections[0].join(new BytesRef(" ")).utf8ToString(), equalTo("xorr the god jewel"));
assertThat(corrections[1].join(new BytesRef(" ")).utf8ToString(), equalTo("xor the god jewel"));
}
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