|Annual Meeting Contributed Papers 2009||START Conference Manager|
Information access across languages challenges researchers and practitioners in many disciplines, especially machine translation (MT) and Cross-language Information Retrieval (CLIR). Google’s cross-language search is a model of integrating MT and CLIR technologies to help users find web pages that are not written in their familiar languages. This paper examines the functions of Google’s cross-language search. It reports a small-scale evaluation to investigate Google’s performance on translating keywords and sentences. Then the authors propose several strategies that digital libraries can apply for implementing multilingual information access through the discussion of the cases of five bilingual or multilingual digital libraries.
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