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https://issues.apache.org/jira/browse/LUCENE-2747?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12965066#action_12965066
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Robert Muir commented on LUCENE-2747:
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OK, i'd like to move forward with this if there are no objections, it improves
these analyzers by improving their multilingual
capabilities, allowing them to support numbers etc, and deprecates/removes
useless custom code (only unreleased functionality is removed)
We also add CharFilter support to the ReusableAnalyzerBase, which was missing
before.
DM: we can open a followup issue to improve the docs for the simplistic
tokenizers as discussed here.
> Deprecate/remove language-specific tokenizers in favor of StandardTokenizer
> ---------------------------------------------------------------------------
>
> Key: LUCENE-2747
> URL: https://issues.apache.org/jira/browse/LUCENE-2747
> Project: Lucene - Java
> Issue Type: Improvement
> Components: Analysis
> Affects Versions: 3.1, 4.0
> Reporter: Steven Rowe
> Fix For: 3.1, 4.0
>
> Attachments: LUCENE-2747.patch, LUCENE-2747.patch
>
>
> As of Lucene 3.1, StandardTokenizer implements UAX#29 word boundary rules to
> provide language-neutral tokenization. Lucene contains several
> language-specific tokenizers that should be replaced by UAX#29-based
> StandardTokenizer (deprecated in 3.1 and removed in 4.0). The
> language-specific *analyzers*, by contrast, should remain, because they
> contain language-specific post-tokenization filters. The language-specific
> analyzers should switch to StandardTokenizer in 3.1.
> Some usages of language-specific tokenizers will need additional work beyond
> just replacing the tokenizer in the language-specific analyzer.
> For example, PersianAnalyzer currently uses ArabicLetterTokenizer, and
> depends on the fact that this tokenizer breaks tokens on the ZWNJ character
> (zero-width non-joiner; U+200C), but in the UAX#29 word boundary rules, ZWNJ
> is not a word boundary. Robert Muir has suggested using a char filter
> converting ZWNJ to spaces prior to StandardTokenizer in the converted
> PersianAnalyzer.
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