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    <abstract>For cross-language information retrieval (CLIR), often queries or documents are translated into the other language to create a mono-lingual information retrieval situation. Having surveyed recent research results on translation-based CLIR, we have convinced ourselves that an effective query translation method is an essential element for a practical CLIR system with a reasonable quality. After summarizing the arguments and methods for query translation and survey results for dictionary-based translation methods, this paper describes a relatively simple yet effective method of using mutual information to handle the ambiguity problem known to be the major factor for low performance compared to mono-lingual situation. Our experimental results based on the TREC-6 collection shows that this method can achieve up to 85% of the monolingual retrieval case and 96% of the manual disambiguation case.</abstract>
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%0 Conference Proceedings
%T Complementing dictionary-based query translations with corpus statistics for cross-language IR
%A Myaeng, Sung Hyon
%A Jang, Mung-Gil
%S Proceedings of Machine Translation Summit VII
%D 1999
%8 sep 13 17
%C Singapore, Singapore
%F myaeng-jang-1999-complementing
%X For cross-language information retrieval (CLIR), often queries or documents are translated into the other language to create a mono-lingual information retrieval situation. Having surveyed recent research results on translation-based CLIR, we have convinced ourselves that an effective query translation method is an essential element for a practical CLIR system with a reasonable quality. After summarizing the arguments and methods for query translation and survey results for dictionary-based translation methods, this paper describes a relatively simple yet effective method of using mutual information to handle the ambiguity problem known to be the major factor for low performance compared to mono-lingual situation. Our experimental results based on the TREC-6 collection shows that this method can achieve up to 85% of the monolingual retrieval case and 96% of the manual disambiguation case.
%U https://aclanthology.org/1999.mtsummit-1.25/
%P 165-174

Markdown (Informal)

[Complementing dictionary-based query translations with corpus statistics for cross-language IR](https://aclanthology.org/1999.mtsummit-1.25/) (Myaeng & Jang, MTSummit 1999)

• Complementing dictionary-based query translations with corpus statistics for cross-language IR (Myaeng & Jang, MTSummit 1999)

ACL

• Sung Hyon Myaeng and Mung-Gil Jang. 1999. Complementing dictionary-based query translations with corpus statistics for cross-language IR. In Proceedings of Machine Translation Summit VII, pages 165–174, Singapore, Singapore.