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From "Mark Miller (JIRA)" <j...@apache.org>
Subject [jira] Commented: (LUCENE-1532) File based spellcheck with doc frequencies supplied
Date Sun, 01 Feb 2009 03:04:59 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-1532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12669323#action_12669323
] 

Mark Miller commented on LUCENE-1532:
-------------------------------------

Just to expand:

I almost think it would be best if both the file and index based checkers used a normalized
frequency combined with the edit distance. The only difference would be how each gets the
term list and freq info. With the index version, the freq info can be auto calculated from
the index, and with the file version, either all terms have the same freq or the user can
supply a file with user freqs (possible the index version could just write that file).

> 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
>
> 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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