Abstract
This is the second year in a row we are participating in CLEF. Our aim is to test the performance of a statistical stemmer on various languages. For CLEF 2006, we tried the stemmer on French [1]; while for CLEF 2007, we did experiments for the Hungarian, Bulgarian and Czech monolingual tasks. We find that, for all languages, YASS produces significant improvements over the baseline (unstemmed) runs. The performance of YASS is also found to be comparable to that of other available stemmers for all the three east European Languages. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Majumder, P., Mitra, M., & Pal, D. (2008). Bulgarian, hungarian and Czech stemming using YASS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5152 LNCS, pp. 49–56). Springer Verlag. https://doi.org/10.1007/978-3-540-85760-0_6
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
