Technical issues of cross-language information retrieval: a review

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摘要

This paper reviews state-of-the-art techniques and methods for enhancing effectiveness of cross-language information retrieval (CLIR). The following research issues are covered: (1) matching strategies and translation techniques, (2) methods for solving the problem of translation ambiguity, (3) formal models for CLIR such as application of the language model, (4) the pivot language approach, (5) methods for searching multilingual document collection, (6) techniques for combining multiple language resources, etc.

论文关键词:Cross-language information retrieval,Machine translation,Word sense disambiguation,Language model

论文评审过程:Received 10 June 2004, Accepted 14 June 2004, Available online 23 August 2004.

论文官网地址:https://doi.org/10.1016/j.ipm.2004.06.007