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Date: Tue, 27 Apr 2010 17:16:37 -0400 (EDT)
From: "Otis Gospodnetic (JIRA)" <jira@apache.org>
To: dev@lucene.apache.org
Subject: [jira] Commented: (LUCENE-1190) a lexicon object for merging
 spellchecker and synonyms from stemming
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    [ 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?

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