Abstract
This paper presents work on document retrieval for Italian carried out at ITC-irst. Two different approaches to information retrieval were investigated, one based on the Okapi weighting formula and one based on a statistical model. Development experiments were carried out using the Italian sample of the TREC-8 CLIR track. Performance evaluation was done on the Cross Language Evaluation Forum (CLEF) 2000 Italian monolingual track. The two methods achieved mean average precisions of 49.0% and 47.5%, respectively, which were the two best scores of their track.
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© 2001 Springer-Verlag Berlin Heidelberg
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Bertoldi, N., Federico, M. (2001). ITC-irst at CLEF 2000: Italian Monolingual Track. In: Peters, C. (eds) Cross-Language Information Retrieval and Evaluation. CLEF 2000. Lecture Notes in Computer Science, vol 2069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44645-1_26
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DOI: https://doi.org/10.1007/3-540-44645-1_26
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