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https://issues.apache.org/jira/browse/LUCENE-4282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13427269#comment-13427269
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Johannes Christen commented on LUCENE-4282:
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Hi Robert. Yes this might be right, but I am still using the similarity float
based stuff, since 2 edits on a three letter word is much more difference to me
than 2 edits on a 10 letter word.
If you apply the stuff I sent, it will work for both cases.
> Automaton Fuzzy Query doesn't deliver all results
> -------------------------------------------------
>
> Key: LUCENE-4282
> URL: https://issues.apache.org/jira/browse/LUCENE-4282
> Project: Lucene - Core
> Issue Type: Bug
> Components: core/search
> Affects Versions: 4.0-ALPHA
> Reporter: Johannes Christen
> Assignee: Robert Muir
> Labels: newbie
> Attachments: LUCENE-4282-tests.patch, ModifiedFuzzyTermsEnum.java,
> ModifiedFuzzyTermsEnum.java
>
>
> Having a small index with n documents where each document has one of the
> following terms:
> WEBER, WEBE, WEB, WBR, WE, (and some more)
> The new FuzzyQuery (Automaton) with maxEdits=2 only delivers the expected
> terms WEBER and WEBE in the rewritten query. The expected terms WEB and WBR
> which have an edit distance of 2 as well are missing.
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