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From Apache Wiki <wikidi...@apache.org>
Subject [Solr Wiki] Update of "AnalyzersTokenizersTokenFilters/Kstem" by JanHoydahl
Date Sat, 24 Sep 2011 19:16:37 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Solr Wiki" for change notification.

The "AnalyzersTokenizersTokenFilters/Kstem" page has been changed by JanHoydahl:
http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters/Kstem?action=diff&rev1=12&rev2=13

Comment:
Changed to reflect that KStem is now part of Solr

- KStem is an alternative to Porter for developers looking for a less aggressive stemmer.
It was written by Bob Krovetz, ported to Lucene by Sergio Guzman-Lara (UMASS Amherst).
+ KStem is an alternative to Porter for developers looking for a less aggressive stemmer.
It was written by Bob Krovetz, ported to Lucene by Sergio Guzman-Lara (UMASS Amherst), and
contributed to Apache Lucene/Solr by Lucid Imagination as part of <!> [[Solr3.3]]
  
- == LucidKStemmer ==
+ See [[LanguageAnalysis#Stemming]] for more.
  
- The [[http://www.lucidimagination.com/Downloads|certified version of Solr from LucidImagination]]
- contains an already-integrated Kstemmer version which has been heavily optimized.
- Large field performance shows a 220% performance increase, while small fields show a %1140
increase compared to the original UMASS code.
- 
- == do-it-yourself ==
- You can get the code from UMASS and integrate it yourself with these instructions. Additional
information regarding KStem and Solr can be found [[https://issues.apache.org/jira/browse/SOLR-379|here]].
- 
-  Do the following to use KStem in your Solr implementation:
-  1. Download [[http://ciir.cs.umass.edu/cgi-bin/downloads/downloads.cgi|KStem]] NOTE: the
UMASS download link has not worked for some time now.
-  2. Unpack the jar file
-  3. Modify the package name on the source files to match your install
-  4. Replace {{{KStemFilter.java}}} with {{{KStemFilterFactory.java}}} (see source listing
below).  There is a licensing issue that prevents this code from being included in Solr or
available as a download.
-  5. Build the jar file and drop that into your Solr /lib directory
-  6. Modify your schema as follows:
- 

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