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Posted to dev@lucene.apache.org by "Robert Muir (Resolved) (JIRA)" <ji...@apache.org> on 2012/02/19 18:20:42 UTC
[jira] [Resolved] (LUCENE-3714) add suggester that uses shortest
path/wFST instead of buckets
[ https://issues.apache.org/jira/browse/LUCENE-3714?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Robert Muir resolved LUCENE-3714.
---------------------------------
Resolution: Fixed
Fix Version/s: 4.0
3.6
Assignee: Robert Muir
Backported to 3.x too, I think we can iterate from here with other issues!
> add suggester that uses shortest path/wFST instead of buckets
> -------------------------------------------------------------
>
> Key: LUCENE-3714
> URL: https://issues.apache.org/jira/browse/LUCENE-3714
> Project: Lucene - Java
> Issue Type: New Feature
> Components: modules/spellchecker
> Reporter: Robert Muir
> Assignee: Robert Muir
> Fix For: 3.6, 4.0
>
> Attachments: LUCENE-3714.patch, LUCENE-3714.patch, LUCENE-3714.patch, LUCENE-3714.patch, LUCENE-3714.patch, LUCENE-3714.patch, TestMe.java, 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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