Web query translation via web log mining

Authors:
Rong Hu;Weizhu Chen;Peng Bai;Yansheng Lu;Zheng Chen;Qiang Yang
Affiliations:
Huazhong University of Science and Technology, Wuhan, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China;Huazhong University of Science and Technology, Wuhan, China;Microsoft Research Asia, Beijing, China;Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Venue:
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2008

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Abstract

This paper describes a method to automatically acquire query translation pairs by mining web click-through data. The extraction requires no crawling or Chinese words segmentation, and can capture popular translations. Experimental results on a real click-through data show that only 17.4% of the extracted queries are in the dictionary, and our method can achieve 62.2% (in top-1) to 80.0% (in top-5) precision in translating web queries. Moreover, the extracted translations are semantically relevant to the source query, which is particularly useful for Cross-Lingual Information Retrieval (CLIR).