[jira] [Commented] (LUCENE-6837) Add N-best output capability to JapaneseTokenizer

["Christian Moen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/LUCENE-6837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14995604#comment-14995604 ] 

Christian Moen commented on LUCENE-6837:
----------------------------------------

I've attached a new patch with some minor changes:

* Made the {{System.out.printf}} being subject to VERBOSE being true
* Introduced RuntimeException to deal with the initialization error cases
* Renamed the new parameters to {{nBestCost}} and {{nBestExamples}}
* Added additional javadoc here and there to document the new functionality

I'm planning on running some stability tests with the new tokenizer parameters next.

> 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
>
>
> 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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