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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-6837) Add N-best output capability to JapaneseTokenizer
Date Thu, 03 Dec 2015 06:28:11 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-6837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15037353#comment-15037353
] 

ASF subversion and git services commented on LUCENE-6837:
---------------------------------------------------------

Commit 1717713 from [~cm] in branch 'dev/trunk'
[ https://svn.apache.org/r1717713 ]

Add n-best output to JapaneseTokenizer (LUCENE-6837)

> Add N-best output capability to JapaneseTokenizer
> -------------------------------------------------
>
>                 Key: LUCENE-6837
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6837
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: modules/analysis
>    Affects Versions: 5.3
>            Reporter: KONNO, Hiroharu
>            Assignee: Christian Moen
>            Priority: Minor
>         Attachments: LUCENE-6837.patch, LUCENE-6837.patch, LUCENE-6837.patch, LUCENE-6837.patch,
LUCENE-6837.patch
>
>
> Japanese morphological analyzers often generate mis-segmented tokens. N-best output reduces
the impact of mis-segmentation on search result. N-best output is more meaningful than character
N-gram, and it increases hit count too.
> If you use N-best output, you can get decompounded tokens (ex: "シニアソフトウェアエンジニア"
=> {"シニア", "シニアソフトウェアエンジニア", "ソフトウェア", "エンジニア"})
and overwrapped tokens (ex: "数学部長谷川" => {"数学", "部", "部長", "長谷川",
"谷川"}), depending on the dictionary and N-best parameter settings.



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