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http://issues.apache.org/jira/browse/LUCENE-537?page=comments#action_12372746 ]
Karl Wettin commented on LUCENE-537:
------------------------------------
This just came on Lucene-users and might explain what I thought was thread
safty. I'll take a look at update my refactored code some time soon.
Från: [EMAIL PROTECTED]
Ämne: Spellchecker bug (or feature?)
Datum: lördag 1 apr 2006 00.20.08 GMT+02:00
Till: [email protected]
Svara till: [email protected]
Not sure if this is the right place to report this issue:
The accuracy value, which can be set via setAccuracy(), is being modified in
SpellChecker.java when a word is checked. As a result, the "min" may be pushed
very high and will not suggest anything for later requests.
One workaround would be to call setAccuracy() each time before a word is
checked, I'm not sure if this is a feature (intended behavior) or a bug.
By the way, I'm using spellchecker 1.9.1 that comes with Lucene 1.9.1.
Thanks,
Xiaocheng
> Refactor of spell check
> -----------------------
>
> Key: LUCENE-537
> URL: http://issues.apache.org/jira/browse/LUCENE-537
> Project: Lucene - Java
> Type: Improvement
> Reporter: Karl Wettin
> Attachments: lucene_spellcheck.tar.gz
>
> 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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