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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Tordai, A., & De Rijke, M. (2006). Four stemmers and a funeral: Stemming in hungarian at CLEF 2005. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4022 LNCS, pp. 179–186). Springer Verlag. https://doi.org/10.1007/11878773_20
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