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https://issues.apache.org/jira/browse/LUCENE-1622?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12870629#action_12870629
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Uwe Schindler commented on LUCENE-1622:
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In my opinion, we should also have a very simply and user-friendly QP like
Google: no syntax at all. Just tokenize Text with Analyzer and create a
TermQuery for each token. The only params to this QP are field name and default
Occur enum.
People should create always ranges and so on programatically. Having this in a
query parser is stupid. XMLQueryParser is good for this, or maybe we also get a
JSON query parser (I have plans to create one similar to XML Query Parser,
maybe using the saem builders). Mark Miller was talking about this for solr,
too.
> Multi-word synonym filter (synonym expansion at indexing time).
> ---------------------------------------------------------------
>
> Key: LUCENE-1622
> URL: https://issues.apache.org/jira/browse/LUCENE-1622
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/analyzers
> Reporter: Dawid Weiss
> Priority: Minor
> Attachments: synonyms.patch
>
>
> It would be useful to have a filter that provides support for indexing-time
> synonym expansion, especially for multi-word synonyms (with multi-word
> matching for original tokens).
> The problem is not trivial, as observed on the mailing list. The problems I
> was able to identify (mentioned in the unit tests as well):
> - if multi-word synonyms are indexed together with the original token stream
> (at overlapping positions), then a query for a partial synonym sequence
> (e.g., "big" in the synonym "big apple" for "new york city") causes the
> document to match;
> - there are problems with highlighting the original document when synonym is
> matched (see unit tests for an example),
> - if the synonym is of different length than the original sequence of tokens
> to be matched, then phrase queries spanning the synonym and the original
> sequence boundary won't be found. Example "big apple" synonym for "new york
> city". A phrase query "big apple restaurants" won't match "new york city
> restaurants".
> I am posting the patch that implements phrase synonyms as a token filter.
> This is not necessarily intended for immediate inclusion, but may provide a
> basis for many people to experiment and adjust to their own scenarios.
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