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Posted to dev@lucene.apache.org by "Christian Moen (Updated) (JIRA)" <ji...@apache.org> on 2012/02/01 10:35:00 UTC
[jira] [Updated] (LUCENE-3726) Default KuromojiAnalyzer to use
search mode
[ https://issues.apache.org/jira/browse/LUCENE-3726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Christian Moen updated LUCENE-3726:
-----------------------------------
Attachment: kuromojieval.tar.gz
> Default KuromojiAnalyzer to use search mode
> -------------------------------------------
>
> Key: LUCENE-3726
> URL: https://issues.apache.org/jira/browse/LUCENE-3726
> Project: Lucene - Java
> Issue Type: Improvement
> Affects Versions: 3.6, 4.0
> Reporter: Robert Muir
> Attachments: kuromojieval.tar.gz
>
>
> Kuromoji supports an option to segment text in a way more suitable for search,
> by preventing long compound nouns as indexing terms.
> In general 'how you segment' can be important depending on the application
> (see http://nlp.stanford.edu/pubs/acl-wmt08-cws.pdf for some studies on this in chinese)
> The current algorithm punishes the cost based on some parameters (SEARCH_MODE_PENALTY, SEARCH_MODE_LENGTH, etc)
> for long runs of kanji.
> Some questions (these can be separate future issues if any useful ideas come out):
> * should these parameters continue to be static-final, or configurable?
> * should POS also play a role in the algorithm (can/should we refine exactly what we decompound)?
> * is the Tokenizer the best place to do this, or should we do it in a tokenfilter? or both?
> with a tokenfilter, one idea would be to also preserve the original indexing term, overlapping it: e.g. ABCD -> AB, CD, ABCD(posInc=0)
> from my understanding this tends to help with noun compounds in other languages, because IDF of the original term boosts 'exact' compound matches.
> but does a tokenfilter provide the segmenter enough 'context' to do this properly?
> Either way, I think as a start we should turn on what we have by default: its likely a very easy win.
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