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https://issues.apache.org/jira/browse/LUCENE-3842?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael McCandless updated LUCENE-3842:
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Attachment: LUCENE-3842.patch
Sudarshan those changes look great! You now also record the input for every
Path coming back from intersectPrefixPaths, and pass that to addStartPaths.
Sorry it took so long to have a look!
I started from your patch, got up to trunk again (there was one compilation
error I think), added some comments, downgraded a nocommit.
I think we are close here ... I'll make a branch so we can iterate.
> Analyzing Suggester
> -------------------
>
> Key: LUCENE-3842
> URL: https://issues.apache.org/jira/browse/LUCENE-3842
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/spellchecker
> Affects Versions: 3.6, 4.0-ALPHA
> Reporter: Robert Muir
> Attachments: LUCENE-3842.patch, LUCENE-3842.patch, LUCENE-3842.patch,
> LUCENE-3842.patch, LUCENE-3842.patch, LUCENE-3842.patch, LUCENE-3842.patch,
> LUCENE-3842.patch, LUCENE-3842.patch, LUCENE-3842.patch,
> LUCENE-3842-TokenStream_to_Automaton.patch
>
>
> Since we added shortest-path wFSA search in LUCENE-3714, and generified the
> comparator in LUCENE-3801,
> I think we should look at implementing suggesters that have more capabilities
> than just basic prefix matching.
> In particular I think the most flexible approach is to integrate with
> Analyzer at both build and query time,
> such that we build a wFST with:
> input: analyzed text such as ghost0christmas0past <-- byte 0 here is an
> optional token separator
> output: surface form such as "the ghost of christmas past"
> weight: the weight of the suggestion
> we make an FST with PairOutputs<weight,output>, but only do the shortest path
> operation on the weight side (like
> the test in LUCENE-3801), at the same time accumulating the output (surface
> form), which will be the actual suggestion.
> This allows a lot of flexibility:
> * Using even standardanalyzer means you can offer suggestions that ignore
> stopwords, e.g. if you type in "ghost of chr...",
> it will suggest "the ghost of christmas past"
> * we can add support for synonyms/wdf/etc at both index and query time (there
> are tradeoffs here, and this is not implemented!)
> * this is a basis for more complicated suggesters such as Japanese
> suggesters, where the analyzed form is in fact the reading,
> so we would add a TokenFilter that copies ReadingAttribute into term text
> to support that...
> * other general things like offering suggestions that are more "fuzzy" like
> using a plural stemmer or ignoring accents or whatever.
> According to my benchmarks, suggestions are still very fast with the
> prototype (e.g. ~ 100,000 QPS), and the FST size does not
> explode (its short of twice that of a regular wFST, but this is still far
> smaller than TST or JaSpell, etc).
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