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

  • Fredric C. Gey
  • Hailing Jiang
  • Vivien Petras
  • Aitao Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2069)

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.

Keywords

Query Term Stopword List Thesaurus Term Query Expansion Technique Median Precision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Fredric C. Gey
    • 1
  • Hailing Jiang
    • 2
  • Vivien Petras
    • 2
  • Aitao Chen
    • 2
  1. 1.UC Data Archive & Technical AssistanceUSA
  2. 2.School of Information Management and SystemsUniversity of CaliforniaCA 94720USA

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