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https://issues.apache.org/jira/browse/LUCENE-5317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15517330#comment-15517330
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ASF GitHub Bot commented on LUCENE-5317:
----------------------------------------

GitHub user tballison opened a pull request:

    https://github.com/apache/lucene-solr/pull/82

    First draft of LUCENE-5317

    First draft of LUCENE-5317

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/tballison/lucene-solr LUCENE-5317

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/lucene-solr/pull/82.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #82
    
----
commit ea9fd7fdd4d94fd498f0188b9aab0c8cf48c7295
Author: tballison <talli...@mitre.org>
Date:   2016-09-23T19:19:22Z

    Rough draft of LUCENE-5317.

commit 632c00980d1f7257b15b5dfde445168940dd423c
Author: tballison <talli...@mitre.org>
Date:   2016-09-23T19:20:36Z

    Merge remote-tracking branch 'upstream/master' into LUCENE-5317

----


> Concordance capability
> ----------------------
>
>                 Key: LUCENE-5317
>                 URL: https://issues.apache.org/jira/browse/LUCENE-5317
>             Project: Lucene - Core
>          Issue Type: New Feature
>          Components: core/search
>    Affects Versions: 4.5
>            Reporter: Tim Allison
>              Labels: patch
>         Attachments: LUCENE-5317.patch, LUCENE-5317.patch, 
> concordance_v1.patch.gz, lucene5317v1.patch, lucene5317v2.patch
>
>
> This patch enables a Lucene-powered concordance search capability.
> Concordances are extremely useful for linguists, lawyers and other analysts 
> performing analytic search vs. traditional snippeting/document retrieval 
> tasks.  By "analytic search," I mean that the user wants to browse every time 
> a term appears (or at least the topn)  in a subset of documents and see the 
> words before and after.  
> Concordance technology is far simpler and less interesting than IR relevance 
> models/methods, but it can be extremely useful for some use cases.
> Traditional concordance sort orders are available (sort on words before the 
> target, words after, target then words before and target then words after).
> Under the hood, this is running SpanQuery's getSpans() and reanalyzing to 
> obtain character offsets.  There is plenty of room for optimizations and 
> refactoring.
> Many thanks to my colleague, Jason Robinson, for input on the design of this 
> patch.



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