You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@lucene.apache.org by "Otis Gospodnetic (JIRA)" <ji...@apache.org> on 2010/04/27 23:16:37 UTC
[jira] Commented: (LUCENE-1190) a lexicon object for merging
spellchecker and synonyms from stemming
[ https://issues.apache.org/jira/browse/LUCENE-1190?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12861546#action_12861546 ]
Otis Gospodnetic commented on LUCENE-1190:
------------------------------------------
Just came across this old issue, and still can't easily follow it. But I wonder if this issue has become irrelevant with all the new work on analyzers that Robert Muir & Co. are doing?
> a lexicon object for merging spellchecker and synonyms from stemming
> --------------------------------------------------------------------
>
> Key: LUCENE-1190
> URL: https://issues.apache.org/jira/browse/LUCENE-1190
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/*, Search
> Affects Versions: 2.3
> Reporter: Mathieu Lecarme
> Attachments: aphone+lexicon.patch, aphone+lexicon.patch
>
>
> Some Lucene features need a list of referring word. Spellchecking is the basic example, but synonyms is an other use. Other tools can be used smoothlier with a list of words, without disturbing the main index : stemming and other simplification of word (anagram, phonetic ...).
> For that, I suggest a Lexicon object, wich contains words (Term + frequency), wich can be built from Lucene Directory, or plain text files.
> Classical TokenFilter can be used with Lexicon (LowerCaseFilter and ISOLatin1AccentFilter should be the most useful).
> Lexicon uses a Lucene Directory, each Word is a Document, each meta is a Field (word, ngram, phonetic, fields, anagram, size ...).
> Above a minimum size, number of differents words used in an index can be considered as stable. So, a standard Lexicon (built from wikipedia by example) can be used.
> A similarTokenFilter is provided.
> A spellchecker will come soon.
> A fuzzySearch implementation, a neutral synonym TokenFilter can be done.
> Unused words can be remove on demand (lazy delete?)
> Any criticism or suggestions?
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: dev-help@lucene.apache.org