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https://issues.apache.org/jira/browse/LUCENE-5030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13689269#comment-13689269
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Michael McCandless commented on LUCENE-5030:
--------------------------------------------
Hmm can you post the full output of the benchmark? It measures different
things in each test case.
Given this, I guess we should make a separate fuzzy suggester class (that
measures edit distance in Unicode code point space)? Or make it a boolean
option on the current class ...
Can you also post your last patch (cutting over to INFO_SEP/2 for the stolen
chars)?
> FuzzySuggester has to operate FSTs of Unicode-letters, not UTF-8, to work
> correctly for 1-byte (like English) and multi-byte (non-Latin) letters
> ------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: LUCENE-5030
> URL: https://issues.apache.org/jira/browse/LUCENE-5030
> Project: Lucene - Core
> Issue Type: Bug
> Affects Versions: 4.3
> Reporter: Artem Lukanin
> Attachments: nonlatin_fuzzySuggester1.patch,
> nonlatin_fuzzySuggester2.patch, nonlatin_fuzzySuggester3.patch,
> nonlatin_fuzzySuggester4.patch, nonlatin_fuzzySuggester.patch,
> nonlatin_fuzzySuggester.patch, nonlatin_fuzzySuggester.patch,
> run-suggest-benchmark.patch
>
>
> There is a limitation in the current FuzzySuggester implementation: it
> computes edits in UTF-8 space instead of Unicode character (code point)
> space.
> This should be fixable: we'd need to fix TokenStreamToAutomaton to work in
> Unicode character space, then fix FuzzySuggester to do the same steps that
> FuzzyQuery does: do the LevN expansion in Unicode character space, then
> convert that automaton to UTF-8, then intersect with the suggest FST.
> See the discussion here:
> http://lucene.472066.n3.nabble.com/minFuzzyLength-in-FuzzySuggester-behaves-differently-for-English-and-Russian-td4067018.html#none
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