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https://issues.apache.org/jira/browse/LUCENE-2749?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13006222#comment-13006222
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Elmar Pitschke commented on LUCENE-2749:
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Hi,
i am fairly new to Lucene development, but i have plenty experience using it
:). I would like to make some contribution and think this would be a good task
for me to start, as i am fairly interested in the analysis part. Can i work on
this task or has there been any work done on this yet?
Regards
Elmar
> Co-occurrence filter
> --------------------
>
> Key: LUCENE-2749
> URL: https://issues.apache.org/jira/browse/LUCENE-2749
> Project: Lucene - Java
> Issue Type: New Feature
> Components: Analysis
> Affects Versions: 3.1, 4.0
> Reporter: Steven Rowe
> Priority: Minor
> Fix For: 4.0
>
>
> The co-occurrence filter to be developed here will output sets of tokens that
> co-occur within a given window onto a token stream.
> These token sets can be ordered either lexically (to allow order-independent
> matching/counting) or positionally (e.g. sliding windows of positionally
> ordered co-occurring terms that include all terms in the window are called
> n-grams or shingles).
> The parameters to this filter will be:
> * window size: this can be a fixed sequence length, sentence/paragraph
> context (these will require sentence/paragraph segmentation, which is not in
> Lucene yet), or over the entire token stream (full field width)
> * minimum number of co-occurring terms: >= 2
> * maximum number of co-occurring terms: <= window size
> * token set ordering (lexical or positional)
> One use case for co-occurring token sets is as candidates for collocations.
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