Four stemmers and a funeral: stemming in hungarian at CLEF 2005

Authors:
Anna Tordai;Maarten de Rijke
Affiliations:
Informatics Institute, University of Amsterdam Kruislaan 403, Amsterdam;Informatics Institute, University of Amsterdam Kruislaan 403, Amsterdam
Venue:
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Year:
2005

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Abstract

We developed algorithmic stemmers for Hungarian and used them for the ad-hoc monolingual task for CLEF 2005. Our goal was to determine what degree of stemming is the most effective. Although on average the stemmers did not perform as well as the the best n-gram, we found that stemming over a broad range of suffixes especially on nouns is highly useful.