A novel corpus-based stemming algorithm using co-occurrence statistics
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
GRAS: An effective and efficient stemming algorithm for information retrieval
ACM Transactions on Information Systems (TOIS)
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
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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.