Abstract
This paper discusses the impact of resource-driven stemming in information retrieval tasks. We conducted experiments in order to identify the relative benefit of various stemming strategies in a language with highly complex morphology. The results reveal the importance of various aspects of stemming in enhancing system performance in the IR task of the CLEF ad-hoc monolingual Hungarian track. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Halácsy, P., & Iron, V. (2007). Benefits of resource-based stemming in hungarian information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4730 LNCS, pp. 99–106). Springer Verlag. https://doi.org/10.1007/978-3-540-74999-8_13
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