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https://issues.apache.org/jira/browse/LUCENE-1522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12683079#action_12683079
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David Kaelbling commented on LUCENE-1522:
-----------------------------------------

Hi,

Our application wants to find and highlight all the hits in a document,
not just the best one(s).  If future highlighters still allowed this,
even if only by judicious use of subclasses, I would be happy :-)

        Thanks,
        David

-- 
David Kaelbling
Senior Software Engineer
Black Duck Software, Inc.

dkaelbl...@blackducksoftware.com
T +1.781.810.2041
F +1.781.891.5145

http://www.blackducksoftware.com




> another highlighter
> -------------------
>
>                 Key: LUCENE-1522
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1522
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: contrib/highlighter
>            Reporter: Koji Sekiguchi
>            Assignee: Michael McCandless
>            Priority: Minor
>             Fix For: 2.9
>
>         Attachments: colored-tag-sample.png, LUCENE-1522.patch, 
> LUCENE-1522.patch
>
>
> I've written this highlighter for my project to support bi-gram token stream 
> (general token stream (e.g. WhitespaceTokenizer) also supported. see test 
> code in patch). The idea was inherited from my previous project with my 
> colleague and LUCENE-644. This approach needs highlight fields to be 
> TermVector.WITH_POSITIONS_OFFSETS, but is fast and can support N-grams. This 
> depends on LUCENE-1448 to get refined term offsets.
> usage:
> {code:java}
> TopDocs docs = searcher.search( query, 10 );
> Highlighter h = new Highlighter();
> FieldQuery fq = h.getFieldQuery( query );
> for( ScoreDoc scoreDoc : docs.scoreDocs ){
>   // fieldName="content", fragCharSize=100, numFragments=3
>   String[] fragments = h.getBestFragments( fq, reader, scoreDoc.doc, 
> "content", 100, 3 );
>   if( fragments != null ){
>     for( String fragment : fragments )
>       System.out.println( fragment );
>   }
> }
> {code}
> features:
> - fast for large docs
> - supports not only whitespace-based token stream, but also "fixed size" 
> N-gram (e.g. (2,2), not (1,3)) (can solve LUCENE-1489)
> - supports PhraseQuery, phrase-unit highlighting with slops
> {noformat}
> q="w1 w2"
> <b>w1 w2</b>
> ---------------
> q="w1 w2"~1
> <b>w1</b> w3 <b>w2</b> w3 <b>w1 w2</b>
> {noformat}
> - highlight fields need to be TermVector.WITH_POSITIONS_OFFSETS
> - easy to apply patch due to independent package (contrib/highlighter2)
> - uses Java 1.5
> - looks query boost to score fragments (currently doesn't see idf, but it 
> should be possible)
> - pluggable FragListBuilder
> - pluggable FragmentsBuilder
> to do:
> - term positions can be unnecessary when phraseHighlight==false
> - collects performance numbers

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