A survey of multilingual text retrieval
A survey of multilingual text retrieval
Resolving ambiguity for cross-language retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Cross-Language Information Retrieval
Cross-Language Information Retrieval
Dictionary Methods for Cross-Lingual Information Retrieval
DEXA '96 Proceedings of the 7th International Conference on Database and Expert Systems Applications
Adaptive vector space text filtering for monolingual and cross-language application
Adaptive vector space text filtering for monolingual and cross-language application
Introduction to the special issue on computational linguistics using large corpora
Computational Linguistics - Special issue on using large corpora: I
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This paper proposes a novel Chinese-English Cross-Lingual Information Retrieval (CECLIR) model PME, in which bilingual dictionary and comparable corpora are used to translate the query terms. The proximity and mutual information of the term-pairs in the Chinese and English comparable corpora are employed not only to resolve the translation ambiguities but also to perform the query expansion so as to deal with the out-of-vocabulary issues in the CECLIR. The evaluation results show that the query precision of PME algorithm is about 84.4% of the monolingual information retrieval.