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https://issues.apache.org/jira/browse/LUCENE-1532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12669601#action_12669601
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Robert Muir commented on LUCENE-1532:
-------------------------------------
I think we are on the same page here, I'm just suggesting that if the broad
goal is to improve spellcheck, I think smarter distance metrics are also worth
looking at.
In my tests I got significantly better results by tuning the ED function as
mentioned, I also use freetts/cmudict to incorporate phonetic edit distance and
average the two. (The idea being to help with true typos but also with
genuinely bad spellers). The downside to these tricks are that they are
language-dependent.
For reference the other thing I will mention is aspell has some test data here:
http://aspell.net/test/orig/ , maybe it is useful in some way?
> File based spellcheck with doc frequencies supplied
> ---------------------------------------------------
>
> Key: LUCENE-1532
> URL: https://issues.apache.org/jira/browse/LUCENE-1532
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/spellchecker
> Reporter: David Bowen
> Priority: Minor
>
> The file-based spellchecker treats all words in the dictionary as equally
> valid, so it can suggest a very obscure word rather than a more common word
> which is equally close to the misspelled word that was entered. It would be
> very useful to have the option of supplying an integer with each word which
> indicates its commonness. I.e. the integer could be the document frequency
> in some index or set of indexes.
> I've implemented a modification to the spellcheck API to support this by
> defining a DocFrequencyInfo interface for obtaining the doc frequency of a
> word, and a class which implements the interface by looking up the frequency
> in an index. So Lucene users can provide alternative implementations of
> DocFrequencyInfo. I could submit this as a patch if there is interest.
> Alternatively, it might be better to just extend the spellcheck API to have a
> way to supply the frequencies when you create a PlainTextDictionary, but that
> would mean storing the frequencies somewhere when building the spellcheck
> index, and I'm not sure how best to do that.
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