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MARS: Multilingual Access and Retrieval System with Enhanced Query Translation and Document Retrieval

  • Lianhau Lee
  • , Aiti Aw
  • , Thuy Vu
  • , Sharifah Aljunied Mahani
  • , Min Zhang
  • , Haizhou Li
  • Agency for Science, Technology and Research, Singapore

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, we introduce a multilingual access and retrieval system with enhanced query translation and multilingual document retrieval, by mining bilingual terminologies and aligned document directly from the set of comparable corpora which are to be searched upon by users. By extracting bilingual terminologies and aligning bilingual documents with similar content prior to the search process provide more accurate translated terms for the in-domain data and support multilingual retrieval even without the use of translation tool during retrieval time. This system includes a user-friendly graphical user interface designed to provide navigation and retrieval of information in browse mode and search mode respectively.

Original languageEnglish
Pages21-24
Number of pages4
StatePublished - 2009
Externally publishedYes
EventJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, Proceedings of Software Demonstration, ACL-IJCNLP 2009 - Suntec, Singapore
Duration: 3 Aug 20093 Aug 2009

Conference

ConferenceJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, Proceedings of Software Demonstration, ACL-IJCNLP 2009
Country/TerritorySingapore
CitySuntec
Period3/08/093/08/09

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