Namespace Lucene.Net.Analysis.Cn.Smart

Analyzer for Simplified Chinese, which indexes words.

For an introduction to Lucene's analysis API, see the Lucene.Net.Analysis package documentation.

Classes

AnalyzerProfile

Manages analysis data configuration for SmartChineseAnalyzer

SmartChineseAnalyzer has a built-in dictionary and stopword list out-of-box.

NOTE: To use an alternate dicationary than the built-in one, put the "bigramdict.dct" and "coredict.dct" files in a subdirectory of your application named "analysis-data". This subdirectory can be placed in any directory up to and including the root directory (if the OS permission allows). To place the files in an alternate location, set an environment variable named "analysis.data.dir" with the name of the directory the "bigramdict.dct" and "coredict.dct" files can be located within.

The default "bigramdict.dct" and "coredict.dct" files can be found at: https://issues.apache.org/jira/browse/LUCENE-1629.

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

HMMChineseTokenizer

Tokenizer for Chinese or mixed Chinese-English text.

The analyzer uses probabilistic knowledge to find the optimal word segmentation for Simplified Chinese text. The text is first broken into sentences, then each sentence is segmented into words.

HMMChineseTokenizerFactory

Factory for HMMChineseTokenizer

Note: this class will currently emit tokens for punctuation. So you should either add a WordDelimiterFilter after to remove these (with concatenate off), or use the SmartChinese stoplist with a StopFilterFactory via:

words="org/apache/lucene/analysis/cn/smart/stopwords.txt"

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

SentenceTokenizer

Tokenizes input text into sentences.

The output tokens can then be broken into words with WordTokenFilter

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

SmartChineseAnalyzer

SmartChineseAnalyzer is an analyzer for Chinese or mixed Chinese-English text. The analyzer uses probabilistic knowledge to find the optimal word segmentation for Simplified Chinese text. The text is first broken into sentences, then each sentence is segmented into words.

Segmentation is based upon the Hidden Markov Model. A large training corpus was used to calculate Chinese word frequency probability.

This analyzer requires a dictionary to provide statistical data. SmartChineseAnalyzer has an included dictionary out-of-box.

The included dictionary data is from ICTCLAS1.0. Thanks to ICTCLAS for their hard work, and for contributing the data under the Apache 2 License!

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

SmartChineseSentenceTokenizerFactory

Factory for the SmartChineseAnalyzer SentenceTokenizer

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

SmartChineseWordTokenFilterFactory

Factory for the SmartChineseAnalyzer WordTokenFilter

Note: this class will currently emit tokens for punctuation. So you should either add a WordDelimiterFilter after to remove these (with concatenate off), or use the SmartChinese stoplist with a StopFilterFactory via:

words="org/apache/lucene/analysis/cn/smart/stopwords.txt"

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

Utility

SmartChineseAnalyzer utility constants and methods

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

WordTokenFilter

A TokenFilter that breaks sentences into words.

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

Enums

CharType

Internal SmartChineseAnalyzer character type constants.

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

WordType

Internal SmartChineseAnalyzer token type constants

This is a Lucene.NET EXPERIMENTAL API, use at your own risk