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https://issues.apache.org/jira/browse/LUCENE-2507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-2507:
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Attachment: LUCENE-2507.patch
there was a bug in conversion between fuzzy term enum's scaling.
i ran some simple perf tests, this is essentially just as fast as the existing
code
with setMaxEdits(1). but with setMaxEdits(2) is much slower.
i'll try to think of ways to speed it up... one idea would be to add lev
automata with transposition
support instead of using higher distances, etc.
> automaton spellchecker
> ----------------------
>
> Key: LUCENE-2507
> URL: https://issues.apache.org/jira/browse/LUCENE-2507
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/spellchecker
> Reporter: Robert Muir
> Fix For: 4.0
>
> Attachments: LUCENE-2507.patch, LUCENE-2507.patch
>
>
> The current spellchecker makes an n-gram index of your terms, and queries
> this for spellchecking.
> The terms that come back from the n-gram query are then re-ranked by an
> algorithm such as Levenshtein.
> Alternatively, we could just do a levenshtein query directly against the
> index, then we wouldn't need
> a separate index to rebuild.
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