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From "Eks Dev (Commented) (JIRA)" <>
Subject [jira] [Commented] (LUCENE-3846) Fuzzy suggester
Date Mon, 05 Mar 2012 09:02:57 GMT


Eks Dev commented on LUCENE-3846:

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:
>             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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