A Hybrid Technique for English-Chinese Cross Language Information Retrieval

  • Authors:
  • Dong Zhou;Mark Truran;Tim Brailsford;Helen Ashman

  • Affiliations:
  • University of Nottingham;University of Teesside;University of Nottingham;University of South, Australia

  • Venue:
  • ACM Transactions on Asian Language Information Processing (TALIP)
  • Year:
  • 2008

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Abstract

In this article we describe a hybrid technique for dictionary-based query translation suitable for English-Chinese cross language information retrieval. This technique marries a graph-based model for the resolution of candidate term ambiguity with a pattern-based method for the translation of out-of-vocabulary (OOV) terms. We evaluate the performance of this hybrid technique in an experiment using several NTCIR test collections. Experimental results indicate a substantial increase in retrieval effectiveness over various baseline systems incorporating machine- and dictionary-based translation.