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From "Robert Muir (Updated) (JIRA)" <>
Subject [jira] [Updated] (LUCENE-3714) add suggester that uses shortest path/wFST instead of buckets
Date Sun, 19 Feb 2012 05:50:00 GMT


Robert Muir updated LUCENE-3714:

    Attachment: LUCENE-3714.patch

Rounded out this patch: fixed it to use the offline sorting, added a random test (basically
a port of the FST shortest-path test, but uses the suggester instead), and added a solr factory
and some docs.

I think its ready to go.
> add suggester that uses shortest path/wFST instead of buckets
> -------------------------------------------------------------
>                 Key: LUCENE-3714
>                 URL:
>             Project: Lucene - Java
>          Issue Type: New Feature
>          Components: modules/spellchecker
>            Reporter: Robert Muir
>         Attachments: LUCENE-3714.patch, LUCENE-3714.patch, LUCENE-3714.patch, LUCENE-3714.patch,
LUCENE-3714.patch, LUCENE-3714.patch,, out.png
> Currently the FST suggester (really an FSA) quantizes weights into buckets (e.g. single
byte) and puts them in front of the word.
> This makes it fast, but you lose granularity in your suggestions.
> Lately the question was raised, if you build lucene's FST with positiveintoutputs, does
it behave the same as a tropical semiring wFST?
> In other words, after completing the word, we instead traverse min(output) at each node
to find the 'shortest path' to the 
> best suggestion (with the highest score).
> This means we wouldnt need to quantize weights at all and it might make some operations
(e.g. adding fuzzy matching etc) a lot easier.

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