Applying Machine Translation to Two-Stage Cross-Language Information Retrieval

Details Applying Machine Translation to Two-Stage Cross-Language Information Retrieval Applying Machine Translation to Two-Stage Cross-Language Information Retrieval

2000-11-02

arxiv.org/abs/cs/0011003v1

Proceedings of the 4th Conference of the Association for Machine Translation in the Americas (AMTA-2000), pp.13-24, Oct. 2000

Computer Science

Computation and Language

13 pages, 1 Postscript figure

Scientific paper

Cross-language information retrieval (CLIR), where queries and documents are in different languages, needs a translation of queries and/or documents, so as to standardize both of them into a common representation. For this purpose, the use of machine translation is an effective approach. However, computational cost is prohibitive in translating large-scale document collections. To resolve this problem, we propose a two-stage CLIR method. First, we translate a given query into the document language, and retrieve a limited number of foreign documents. Second, we machine translate only those documents into the user language, and re-rank them based on the translation result. We also show the effectiveness of our method by way of experiments using Japanese queries and English technical documents.

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