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From "Mark Harwood (JIRA)" <j...@apache.org>
Subject [jira] Commented: (LUCENE-1532) File based spellcheck with doc frequencies supplied
Date Tue, 03 Feb 2009 09:35:59 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-1532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12669906#action_12669906
] 

Mark Harwood commented on LUCENE-1532:
--------------------------------------

Surely the biggest factor in picking the right spelling suggestion is to look at the other
words the user has typed in the query? A quick search tells me there are 4 words used in the
average Google query (I used 4 words to find this out). Measuring coocurrence of variants
with the other query words seems like a much more useful measure than considering IDF of isolated
word variants?

This may be useful : http://issues.apache.org/jira/browse/LUCENE-474?focusedCommentId=12358701#action_12358701


> 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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