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https://issues.apache.org/jira/browse/LUCENE-1190?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12574182#action_12574182
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Otis Gospodnetic commented on LUCENE-1190:
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This sounds like something that might be interesting, but honestly I don't
follow the initial description and the 300KB+ patch is a big one.
For example, I don't know what you mean by "Some Lucene features need a list of
referring word". Do you mean "a list of associated words"?
{quote}
Lexicon uses a Lucene Directory, each Word is a Document, each meta is a Field
(word, ngram, phonetic, fields, anagram, size ...).
{quote}
Each meta is a Field.... what do you mean by that? Could you please give an
example?
{quote}
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.
{quote}
Hm, not sure I know what you mean. Are you saying that once you create a
sufficiently large lexicon/dictionary/index, the number of new terms starts
decreasing? (Heap's Law? http://en.wikipedia.org/wiki/Heaps'_law )
> 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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