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https://issues.apache.org/jira/browse/LUCENE-3846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13222228#comment-13222228
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Eks Dev commented on LUCENE-3846:
---------------------------------
Robert,
I am not talking from some abstract-theoretical point of view, I made my own
experience on nontrivial Lucene datasets that are unfortunately not for
sharing. Having possibility to train cost matrices per edit operation brings a
lot, but you may have had another experience (different problems, different
data...).
Without specifying concrete task (annotated data), there is no notion of
"better", so this argument simply does not help ("show me it is better", "no
you show me all ones matrix is better than any other", "no, no..."). It is
simply about the experience we made in the past, different opinions.
I personally would not try this argument with molecular biology teams, and tell
them their POM and BLOSUM matrices are worthless or to someone in record
linkage community (Lucene was used in this context a lot) or ...
> Fuzzy suggester
> ---------------
>
> Key: LUCENE-3846
> URL: https://issues.apache.org/jira/browse/LUCENE-3846
> Project: Lucene - Java
> Issue Type: Improvement
> Reporter: Michael McCandless
> Assignee: Michael McCandless
> Fix For: 3.6, 4.0
>
> Attachments: LUCENE-3846.patch
>
>
> Would be nice to have a suggester that can handle some fuzziness (like spell
> correction) so that it's able to suggest completions that are "near" what you
> typed.
> As a first go at this, I implemented 1T (ie up to 1 edit, including a
> transposition), except the first letter must be correct.
> But there is a penalty, ie, the "corrected" suggestion needs to have a much
> higher freq than the "exact match" suggestion before it can compete.
> Still tons of nocommits, and somehow we should merge this / make it work with
> analyzing suggester too (LUCENE-3842).
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