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https://issues.apache.org/jira/browse/LUCENE-5468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13915051#comment-13915051
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Robert Muir commented on LUCENE-5468:
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No, but when testing relevance, outputting all the stems leads to slower
indexing, a much larger index, and significantly impacts precision for some
languages.
So after reading CLEF experiments done with hungarian
(http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.105.8036&rep=rep1&type=pdf)
where they suggest a simple disambiguation heuristic (shortest stem for most
aggressive), i experimented with the opposite, and found it was quite useful :)
> Hunspell very high memory use when loading dictionary
> -----------------------------------------------------
>
> Key: LUCENE-5468
> URL: https://issues.apache.org/jira/browse/LUCENE-5468
> Project: Lucene - Core
> Issue Type: Bug
> Affects Versions: 3.5
> Reporter: Maciej Lisiewski
> Priority: Minor
> Attachments: LUCENE-5468.patch, patch.txt
>
>
> Hunspell stemmer requires gigantic (for the task) amounts of memory to load
> dictionary/rules files.
> For example loading a 4.5 MB polish dictionary (with empty index!) will cause
> whole core to crash with various out of memory errors unless you set max heap
> size close to 2GB or more.
> By comparison Stempel using the same dictionary file works just fine with 1/8
> of that (and possibly lower values as well).
> Sample error log entries:
> http://pastebin.com/fSrdd5W1
> http://pastebin.com/Lmi0re7Z
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