Comparative Evaluation of Multilingual Information Access Systems

Volume 3237 of the series Lecture Notes in Computer Science pp 133-139

Multilingual Information Retrieval Using Open, Transparent Resources in CLEF 2003

  • Monica RogatiAffiliated withComputer Science Department, Carnegie Mellon University
  • , Yiming YangAffiliated withComputer Science Department, Carnegie Mellon University

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Corpus-based approaches to cross-lingual information retrieval (CLIR) have been studied and applied for many years. However, using general-purpose commercial MT systems for CLEF has been considered easier and better performing, which is to be expected given the non-domain specific nature of newspaper articles we are using in CLEF. Corpus based approaches are easier to adapt to new domains and languages; however, it is possible that their performance would be lower on a general test collection such as CLEF. Our results show that the performance drop is not large enough to justify the loss of control, transparency and flexibility. We have participated in two bilingual runs and the small multilingual run using software and data that are free to obtain, transparent and modifiable.