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https://issues.apache.org/jira/browse/LUCENE-7960?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16461700#comment-16461700
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Shawn Heisey commented on LUCENE-7960:
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The "obvious" workaround to either situation is to decrease minGram and/or
increase maxGram. I find that increasing maxGram doesn't meet with a lot of
resistance ... but decreasing minGram can lead to massive term explosion (with
possible performance ramifications) and a big shift in recall/precision balance.
> NGram filters -- add option to keep short terms
> -----------------------------------------------
>
> Key: LUCENE-7960
> URL: https://issues.apache.org/jira/browse/LUCENE-7960
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/analysis
> Reporter: Shawn Heisey
> Priority: Major
> Attachments: LUCENE-7960.patch, LUCENE-7960.patch
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> When ngram or edgengram filters are used, any terms that are shorter than the
> minGramSize are completely removed from the token stream.
> This is probably 100% what was intended, but I've seen it cause a lot of
> problems for users. I am not suggesting that the default behavior be
> changed. That would be far too disruptive to the existing user base.
> I do think there should be a new boolean option, with a name like
> keepShortTerms, that defaults to false, to allow the short terms to be
> preserved.
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