Using Mutual Information Technique in Cross-Language Information Retrieval

  • Authors:
  • Syandra Sari;Mirna Adriani

  • Affiliations:
  • Faculty of Computer Science, University of Indonesia affiliation with Faculty of Industrial Technology, Trisakti University, Jakarta 11440;Faculty of Computer Science, University of Indonesia, Depok, 16424

  • Venue:
  • ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
  • Year:
  • 2008

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Abstract

This paper describes the Indonesian-English cross language information system, where we investigated the problem of cross language document retrieval for Indonesian-English. Our work based on Indonesian-English parallel corpus and applied mutual information technique. Our parallel corpus was built using a machine translation tool. Indonesian queries were translated into English by means of bilingual word list that created using mutual information technique. Experimental results demonstrated that translating Indonesian queries into English using this bilingual word list achieved 41.9% of the monolingual queries.