[jira] [Resolved] (LUCENE-1489) highlighter problem with n-gram tokens

["Koji Sekiguchi (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/LUCENE-1489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Koji Sekiguchi resolved LUCENE-1489.
------------------------------------

    Resolution: Won't Fix

This problem was my motivation for creating FastVectorHighlighter. Once FVH was committed, I'd never tried the combination of CJKTokenizer + Highlighter. So, I don't know the latest situation.

I'd like to close this as won't fix.
                
> highlighter problem with n-gram tokens
> --------------------------------------
>
>                 Key: LUCENE-1489
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1489
>             Project: Lucene - Java
>          Issue Type: Bug
>          Components: modules/highlighter
>            Reporter: Koji Sekiguchi
>            Priority: Minor
>         Attachments: LUCENE-1489.patch, lucene1489.patch
>
>
> I have a problem when using n-gram and highlighter. I thought it had been solved in LUCENE-627...
> Actually, I found this problem when I was using CJKTokenizer on Solr, though, here is lucene program to reproduce it using NGramTokenizer(min=2,max=2) instead of CJKTokenizer:
> {code:java}
> public class TestNGramHighlighter {
>   public static void main(String[] args) throws Exception {
>     Analyzer analyzer = new NGramAnalyzer();
>     final String TEXT = "Lucene can make index. Then Lucene can search.";
>     final String QUERY = "can";
>     QueryParser parser = new QueryParser("f",analyzer);
>     Query query = parser.parse(QUERY);
>     QueryScorer scorer = new QueryScorer(query,"f");
>     Highlighter h = new Highlighter( scorer );
>     System.out.println( h.getBestFragment(analyzer, "f", TEXT) );
>   }
>   static class NGramAnalyzer extends Analyzer {
>     public TokenStream tokenStream(String field, Reader input) {
>       return new NGramTokenizer(input,2,2);
>     }
>   }
> }
> {code}
> expected output is:
> Lucene <B>can</B> make index. Then Lucene <B>can</B> search.
> but the actual output is:
> Lucene <B>can make index. Then Lucene can</B> search.

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