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From "Xiaoping Gao (JIRA)" <j...@apache.org>
Subject [jira] Updated: (LUCENE-1629) contrib intelligent Analyzer for Chinese
Date Thu, 07 May 2009 05:54:30 GMT

     [ https://issues.apache.org/jira/browse/LUCENE-1629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiaoping Gao updated LUCENE-1629:
---------------------------------

    Attachment: LUCENE-1629.patch

Here is all the source code of intelligent analyzer for Chinese. About 2500 lines
The unit TestCase contains a main method, which needs lexical dictionary to run, so I will
post the binary lexical dictionary soon.

> contrib intelligent Analyzer for Chinese
> ----------------------------------------
>
>                 Key: LUCENE-1629
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1629
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: contrib/analyzers
>    Affects Versions: 2.4.1
>         Environment: for java 1.5 or higher, lucene 2.4.1
>            Reporter: Xiaoping Gao
>         Attachments: LUCENE-1629.patch
>
>
> I wrote a Analyzer for apache lucene for analyzing sentences in Chinese language. it's
called "imdict-chinese-analyzer", the project on google code is here: http://code.google.com/p/imdict-chinese-analyzer/
> In Chinese, "我是中国人"(I am Chinese), should be tokenized as "我"(I)   "是"(am)
  "中国人"(Chinese), not "我" "是中" "国人". So the analyzer must handle each sentence
properly, or there will be mis-understandings everywhere in the index constructed by Lucene,
and the accuracy of the search engine will be affected seriously!
> Although there are two analyzer packages in apache repository which can handle Chinese:
ChineseAnalyzer and CJKAnalyzer, they take each character or every two adjoining characters
as a single word, this is obviously not true in reality, also this strategy will increase
the index size and hurt the performance baddly.
> The algorithm of imdict-chinese-analyzer is based on Hidden Markov Model (HMM), so it
can tokenize chinese sentence in a really intelligent way. Tokenizaion accuracy of this model
is above 90% according to the paper "HHMM-based Chinese Lexical analyzer ICTCLAL" while other
analyzer's is about 60%.
> As imdict-chinese-analyzer is a really fast and intelligent. I want to contribute it
to the apache lucene repository.

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