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In information retrieval, translation language model refers to a retrieval model that scores a document by the probability that it would be translated into the query, bridging word mismatch between them. This meaning comes from Berger (1999) in Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval.[1]
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