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Multilingual Information Retrieval Using Open, Transparent Resources in CLEF 2003

  • Monica Rogati
  • Yiming Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3237)

Abstract

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.

Keywords

Machine Translation Query Expansion Statistical Machine Translation Parallel Corpus Language Pair 
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 2004

Authors and Affiliations

  • Monica Rogati
    • 1
  • Yiming Yang
    • 1
  1. 1.Computer Science DepartmentCarnegie Mellon UniversityPittsburghUSA

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