Stemming in agglutinative languages: A probabilistic stemmer for Turkish

Makaleler > Tam Makale · 2003

Yazarlar: Banu DİNÇER, BAHAR KARAOĞLAN

COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, SCI İndekslerine Giren Dergi, Uluslararası, 2003, cilt 2869, ss 244-251

Özet

In this paper, we introduce a new lexicon free, probabilistic stemmer to be used in a developing Turkish Information Retrieval system. It has a linear computational complexity and its test success ratio is 95.8%. The main contribution of this paper is to give a thorough description of a probabilistic perspective for stemming which can also be generalized to apply to other agglutinative languages like Finnish, Hungarian, Estonian and Czech.

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