Combination methods for crosslingual web retrieval

  • Authors:
  • Jaap Kamps;Maarten de Rijke;Börkur Sigurbjörnsson

  • Affiliations:
  • Archives and Information Science, Faculty of Humanities, University of Amsterdam;ISLA, Faculty of Science, University of Amsterdam;ISLA, Faculty of Science, University of Amsterdam

  • Venue:
  • CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
  • Year:
  • 2005

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Abstract

We investigate a range of crosslingual web retrieval tasks using the test suite of the CLEF 2005 WebCLEF track, which features a stream of known-item topics in various languages. Our main findings are: (i) straightforward indexing and retrieval is effective for mixed monolingual web retrieval; (ii) standard machine translation methods are effective for bilingual web retrieval; but (iii) standard combination methods are ineffective for multilingual web retrieval; we analyze the failure and suggest an alternative Z-score normalization that leads to effective multilingual retrieval results.