Cross-Language Information Retrieval based on category matching between language versions of a web directory

  • Authors:
  • Fuminori Kimura;Akira Maeda;Masatoshi Yoshikawa;Shunsuke Uemura

  • Affiliations:
  • Nara Institute of Science and Technology, Ikoma, Nara, Japan;Ritsumeikan University, Kusatsu, Shiga, Japan;Nagoya University, Furo-cho, Chigusa-ku, Nagoya, Aichi, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan

  • Venue:
  • AsianIR '03 Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

Since the Web consists of documents in various domains or genres, the method for Cross-Language Information Retrieval (CLIR) of Web documents should be independent of a particular domain. In this paper, we propose a CLIR method which employs a Web directory provided in multiple language versions (such as Yahoo!). In the proposed method, feature terms are first extracted from Web documents for each category in the source and the target languages. Then, one or more corresponding categories in another language are determined beforehand by comparing similarities between categories across languages. Using these category pairs, we intend to resolve ambiguities of simple dictionary translation by narrowing the categories to be retrieved in the target language.