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Posted to dev@lucene.apache.org by "Robert Muir (JIRA)" <ji...@apache.org> on 2009/11/30 05:31:23 UTC
[jira] Updated: (LUCENE-2091) Add BM25 Scoring to Lucene
[ https://issues.apache.org/jira/browse/LUCENE-2091?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Robert Muir updated LUCENE-2091:
--------------------------------
Attachment: persianlucene.jpg
otis attached is a graph i produced from the hamshahri corpus, comparing 4 different combinations
Lucene SimpleAnalyzer
Lucene SimpleAnalyzer + BM25
Lucene PersianAnalyzer
Lucene PersianAnalyzer + BM25
the hamshahri corpus contains standardized encoding of persian (i.e. the normalization filter is a no-op).
so any analyzer gain is strictly due to "stopwords", although in persian i wouldn't call some of these words.
this was mostly to show that the analyzer is actually useful, i.e. the scoring system can't completely make up for lack of support like this.
> Add BM25 Scoring to Lucene
> --------------------------
>
> Key: LUCENE-2091
> URL: https://issues.apache.org/jira/browse/LUCENE-2091
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/*
> Reporter: Yuval Feinstein
> Priority: Minor
> Fix For: 3.1
>
> Attachments: persianlucene.jpg
>
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> http://nlp.uned.es/~jperezi/Lucene-BM25/ describes an implementation of Okapi-BM25 scoring in the Lucene framework,
> as an alternative to the standard Lucene scoring (which is a version of mixed boolean/TFIDF).
> I have refactored this a bit, added unit tests and improved the runtime somewhat.
> I would like to contribute the code to Lucene under contrib.
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