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From "Karl Wettin (JIRA)" <j...@apache.org>
Subject [jira] Created: (LUCENE-537) Refactor of spell check
Date Fri, 31 Mar 2006 08:19:30 GMT
Refactor of spell check
-----------------------

         Key: LUCENE-537
         URL: http://issues.apache.org/jira/browse/LUCENE-537
     Project: Lucene - Java
        Type: Improvement
    Reporter: Karl Wettin


I use the same ngram index for multiple categories, but only want to spell check per category.
The old implementation did not support this as it used docFreq as controller source.

The spell check returns suggestions with score and not just the suggested word.

TokenFrequencyVector replace the IndexReader used for docFreq. 

LuceneTokenFrequencyVector wraps an IndexReader and works just as the old implementation.

LuceneQueryDictionary creates an ngram dictionary based on a query and not the whole index.

MultiTokenFrequencyVector treats a number of TokenFrequencyVector:s as one. I.e. for use when
spell checking in multiple contexts.

TokenFrequencyVectorMap is a HashMap facade. Comes with static factory to create the vector
based on the the tokens in a specific field from a search.

I use the TokenFrequencyVectorMap to build one vector per category and instanciate a MultiTokenFrequencyVector
for each  user query. Could probably save a couple of clock ticks by buffering MultiVectors
rather than creating new once all the time.

Also it seems as the ngram-code might not be thread safe. This also include the source in
CVS. Have not succeded to prove it when when testing, only in the live environment. Each instance
of Spellchecker only suggest once. And it takes quite some resources to create new instances
of the spellchecker as it is designed today. Might get back on that subject.

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