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List: lucene-dev
Subject: [jira] Updated: (LUCENE-1320) ShingleMatrixFilter, a three
From: "Karl Wettin (JIRA)" <jira () apache ! org>
Date: 2008-06-30 2:11:45
Message-ID: 652227864.1214791905029.JavaMail.jira () brutus
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[ https://issues.apache.org/jira/browse/LUCENE-1320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel \
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Karl Wettin updated LUCENE-1320:
--------------------------------
Attachment: LUCENE-1320.txt
documentation will have to come later... until then see the test cases
> ShingleMatrixFilter, a three dimensional permutating shingle filter
> -------------------------------------------------------------------
>
> Key: LUCENE-1320
> URL: https://issues.apache.org/jira/browse/LUCENE-1320
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/analyzers
> Affects Versions: 2.3.2
> Reporter: Karl Wettin
> Assignee: Karl Wettin
> Attachments: LUCENE-1320.txt
>
>
> Backed by a column focused matrix that creates all permutations of shingle tokens \
> in three dimensions. I.e. it handles multi token synonyms. Could for instance in \
> some cases be used to replaces 0-slop phrase queries with something speedier. \
> {code:java} Token[][][]{
> {{hello}, {greetings, and, salutations}},
> {{world}, {earth}, {tellus}}
> }
> {code}
> passes the following test with 2-3 grams:
> {code:java}
> assertNext(ts, "hello_world");
> assertNext(ts, "greetings_and");
> assertNext(ts, "greetings_and_salutations");
> assertNext(ts, "and_salutations");
> assertNext(ts, "and_salutations_world");
> assertNext(ts, "salutations_world");
> assertNext(ts, "hello_earth");
> assertNext(ts, "and_salutations_earth");
> assertNext(ts, "salutations_earth");
> assertNext(ts, "hello_tellus");
> assertNext(ts, "and_salutations_tellus");
> assertNext(ts, "salutations_tellus");
> {code}
> Contains more and less complex tests that demonstrate offsets, posincr, payload \
> boosts calculation and construction of a matrix from a token stream. The matrix \
> attempts to hog as little memory as possible by seeking no more than \
> maximumShingleSize columns forward in the stream and clearing up unused resources \
> (columns and unique token sets). Can still be optimized quite a bit though.
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