Stemming in agglutinative languages: A probabilistic stemmer for Turkish
Articles > Article · 2003
Authors: Banu DİNÇER, BAHAR KARAOĞLAN
COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, Journal Indexed in SCI, International, 2003, vol 2869, pp 244-251
Summary
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.