use of org.apache.lucene.analysis.standard.StandardTokenizer in project omegat by omegat-org.
the class HunspellTokenizer method getTokenStream.
@Override
protected TokenStream getTokenStream(final String strOrig, final boolean stemsAllowed, final boolean stopWordsAllowed) throws IOException {
StandardTokenizer tokenizer = new StandardTokenizer();
tokenizer.setReader(new StringReader(strOrig));
if (stemsAllowed) {
Dictionary dictionary = getDict();
if (dictionary == null) {
return tokenizer;
}
return new HunspellStemFilter(tokenizer, dictionary);
// / TODO: implement stop words checks
} else {
return tokenizer;
}
}
use of org.apache.lucene.analysis.standard.StandardTokenizer in project elasticsearch by elastic.
the class KeepTypesFilterFactoryTests method testKeepTypes.
public void testKeepTypes() throws IOException {
Settings settings = Settings.builder().put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString()).put("index.analysis.filter.keep_numbers.type", "keep_types").putArray("index.analysis.filter.keep_numbers.types", new String[] { "<NUM>", "<SOMETHINGELSE>" }).build();
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromSettings(settings);
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("keep_numbers");
assertThat(tokenFilter, instanceOf(KeepTypesFilterFactory.class));
String source = "Hello 123 world";
String[] expected = new String[] { "123" };
Tokenizer tokenizer = new StandardTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected, new int[] { 2 });
}
use of org.apache.lucene.analysis.standard.StandardTokenizer in project elasticsearch by elastic.
the class CJKFilterFactoryTests method testNoFlags.
public void testNoFlags() throws IOException {
ESTestCase.TestAnalysis analysis = AnalysisTestsHelper.createTestAnalysisFromClassPath(createTempDir(), RESOURCE);
TokenFilterFactory tokenFilter = analysis.tokenFilter.get("cjk_no_flags");
String source = "多くの学生が試験に落ちた。";
String[] expected = new String[] { "多く", "くの", "の学", "学生", "生が", "が試", "試験", "験に", "に落", "落ち", "ちた" };
Tokenizer tokenizer = new StandardTokenizer();
tokenizer.setReader(new StringReader(source));
assertTokenStreamContents(tokenFilter.create(tokenizer), expected);
}
use of org.apache.lucene.analysis.standard.StandardTokenizer 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.standard.StandardTokenizer 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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