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Posted to solr-dev@lucene.apache.org by "Hoss Man (JIRA)" <ji...@apache.org> on 2007/09/15 03:01:32 UTC
[jira] Updated: (SOLR-319) changes SynonymFilterFactoryto "Analyze"
synonyms file
[ https://issues.apache.org/jira/browse/SOLR-319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hoss Man updated SOLR-319:
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Summary: changes SynonymFilterFactoryto "Analyze" synonyms file (was: changes SynonymFilterFactory for N-gram tokenizer)
I've revised the summary line of this bug because it was a little confusing to me ... the issue isn't really specific to n-gram based tokenizers, as you point out this is a general issue that currently when constructing the synonyms file you have to be very aware of the analysis chain of your fieldtype -- ie: if LowercaseFilterFactory comes before SynonymFilterFactory, then all synonyms must be lowercased in your file.
The notion of specifying a TokenizerFactory as a property of the SynonymFilterFactory that tells it how to parse the synonymstxt file is pretyt clever, and would solve the CJKTokenizer problem you describe, but i don't think it really goes far enough -- consider the lowercase example. it would be good if you could have a synonyms file that contained proper names, and have it do the right thing when used in lower cased fields as well as exact case fields.
to extend the tokenizer idea -- what if you could specify the name of a fieldtype, and the entire Analyzer for that fieldtype would be used to parse the individual synonym records? this should simplify the patch a bit (since you don't have to worry about initializing any factories, the schema will take care of it for you) and make it a lot more powerful.
> changes SynonymFilterFactoryto "Analyze" synonyms file
> ------------------------------------------------------
>
> Key: SOLR-319
> URL: https://issues.apache.org/jira/browse/SOLR-319
> Project: Solr
> Issue Type: Improvement
> Reporter: Koji Sekiguchi
> Priority: Minor
> Attachments: SOLR-319.patch
>
>
> WHAT:
> Currently, SynonymFilterFactory works very well with N-gram tokenizer (CJKTokenizer, for example).
> But we have to take care of the statement in synonyms.txt.
> For example, if I use CJKTokenizer (work as bi-gram for CJK chars) and want C1C2C3 maps to C4C5C6,
> I have to write the rule as follows:
> C1C2 C2C3 => C4C5 C5C6
> But I want to write it "C1C2C3=>C4C5C6". This patch allows it. It is also helpful for sharing synonyms.txt.
> HOW:
> tokenFactory attribute is added to <filter class="solr.SynonymFilterFactory"/>.
> If the attribute is specified, SynonymFilterFactory uses the TokenizerFactory to create Tokenizer.
> Then SynonymFilterFactory uses the Tokenizer to get tokens from the rules in synonyms.txt file.
> sample-1: CJKTokenizer
> <fieldtype name="text_cjk" class="solr.TextField" positionIncrementGap="100">
> <analyzer type="index">
> <tokenizer class="solr.CJKTokenizerFactory"/>
> <filter class="solr.SynonymFilterFactory" synonyms="ngram_synonym_test_ja.txt"
> ignoreCase="true" expand="true" tokenFactory="solr.CJKTokenizerFactory"/>
> <filter class="solr.LowerCaseFilterFactory"/>
> </analyzer>
> <analyzer type="query">
> <tokenizer class="solr.CJKTokenizerFactory"/>
> <filter class="solr.LowerCaseFilterFactory"/>
> </analyzer>
> </fieldtype>
> sample-2: NGramTokenizer
> <fieldtype name="text_ngram" class="solr.TextField" positionIncrementGap="100">
> <analyzer type="index">
> <tokenizer class="solr.NGramTokenizerFactory" minGramSize="2" maxGramSize="2"/>
> <filter class="solr.LowerCaseFilterFactory"/>
> </analyzer>
> <analyzer type="query">
> <tokenizer class="solr.NGramTokenizerFactory" minGramSize="2" maxGramSize="2"/>
> <filter class="solr.SynonymFilterFactory" synonyms="ngram_synonym_test_ngram.txt"
> ignoreCase="true" expand="true"
> tokenFactory="solr.NGramTokenizerFactory" minGramSize="2" maxGramSize="2"/>
> <filter class="solr.LowerCaseFilterFactory"/>
> </analyzer>
> </fieldtype>
> backward compatibility:
> Yes. If you omit tokenFactory attribute from <filter class="solr.SynonymFilterFactory"/> tag, it works as usual.
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