Lecture Notes in Computer Science, 2001, Volume 2069/2001, 116-128, DOI: 10.1007/3-540-44645-1_11

Cross-Language Retrieval for the CLEF Collections — Comparing Multiple Methods of Retrieval

Fredric C. Gey, Hailing Jiang, Vivien Petras and Aitao Chen

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Abstract

For our participation in CLEF, the Berkeley group participated in the monolingual, multilingual and GIRT tasks. To help enrich the CLEF relevance set for future training, we prepared a manual reformulation of the original German queries which achieved excellent performance, more than 110% better than average of median precision. The GIRT task performed English-German Cross-Language IR by comparing commercial machine translation with thesaurus lookup techniques and query expansion techniques. Combining all techniques using simple data fusion produced the best results.

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