本文整理汇总了Java中org.apache.lucene.analysis.ngram.NGramFilterFactory类的典型用法代码示例。如果您正苦于以下问题：Java NGramFilterFactory类的具体用法？Java NGramFilterFactory怎么用？Java NGramFilterFactory使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
NGramFilterFactory类属于org.apache.lucene.analysis.ngram包，在下文中一共展示了NGramFilterFactory类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: getSearchMapping
import org.apache.lucene.analysis.ngram.NGramFilterFactory; //导入依赖的package包/类
/**
* Gets the search mapping.
*
* @return the search mapping
*/
@Factory
public SearchMapping getSearchMapping() {
final SearchMapping mapping = new SearchMapping();
mapping.analyzerDef("ngram", StandardTokenizerFactory.class).filter(LowerCaseFilterFactory.class)
.filter(NGramFilterFactory.class).param("minGramSize", "3").param("maxGramSize", "3")
.analyzerDef("se", StandardTokenizerFactory.class).filter(LowerCaseFilterFactory.class)
.filter(SwedishLightStemFilterFactory.class).analyzerDef("en", StandardTokenizerFactory.class)
.filter(LowerCaseFilterFactory.class).filter(PorterStemFilterFactory.class)
.entity(DocumentContentData.class).indexed().property("hjid", ElementType.FIELD).documentId().property("content", ElementType.METHOD).field().analyzer("se").store(Store.NO).analyze(Analyze.YES).property("id", ElementType.METHOD).field()
.entity(DocumentElement.class).indexed().property("id", ElementType.FIELD).documentId().property("title", ElementType.METHOD).field().analyzer("se").store(Store.NO).analyze(Analyze.YES).property("subTitle", ElementType.METHOD).field().analyzer("se").store(Store.NO).analyze(Analyze.YES)
.entity(DocumentStatusContainer.class).indexed().property("hjid", ElementType.FIELD).documentId().property("documentCategory", ElementType.METHOD).field().analyzer("se").store(Store.NO).analyze(Analyze.YES);
return mapping;
}
示例2: getSearchMapping
import org.apache.lucene.analysis.ngram.NGramFilterFactory; //导入依赖的package包/类
@Factory
public SearchMapping getSearchMapping() {
SearchMapping mapping = new SearchMapping();
mapping.analyzerDef("autocompleteEdgeAnalyzer", PatternTokenizerFactory.class)
.tokenizerParam("pattern", "(.*)")
.tokenizerParam("group", "1")
.filter(LowerCaseFilterFactory.class)
.filter(StopFilterFactory.class)
.filter(EdgeNGramFilterFactory.class)
.param("minGramSize", "3")
.param("maxGramSize", "50")
.analyzerDef("autocompletePhoneticAnalyzer", StandardTokenizerFactory.class)
.filter(StandardFilterFactory.class)
.filter(StopFilterFactory.class)
.filter(PhoneticFilterFactory.class)
.param("encoder", "DoubleMetaphone")
.filter(SnowballPorterFilterFactory.class)
.param("language", "English")
.analyzerDef("autocompleteNGramAnalyzer", StandardTokenizerFactory.class)
.filter(WordDelimiterFilterFactory.class)
.filter(LowerCaseFilterFactory.class)
.filter(NGramFilterFactory.class)
.param("minGramSize", "3")
.param("maxGramSize", "20")
.analyzerDef("standardAnalyzer", StandardTokenizerFactory.class)
.filter(LowerCaseFilterFactory.class)
.analyzerDef("exactAnalyzer", StandardTokenizerFactory.class)
.analyzerDef("conceptParentPidsAnalyzer", WhitespaceTokenizerFactory.class);
return mapping;
}