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From "Robert Muir (JIRA)" <j...@apache.org>
Subject [jira] Commented: (LUCENE-1532) File based spellcheck with doc frequencies supplied
Date Mon, 02 Feb 2009 13:59:59 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-1532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12669601#action_12669601
] 

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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