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Word alignment plays a critical role in statistical machine translation (SMT) and cross-language information retrieval. Until now, most existing methods get the word alignment within the whole range of the sentence length. The alignment quality is unsatisfactory. In this paper, we propose a novel approach to word alignment based on multi-grain model (WAMG). We split a parallel sentence pair into blocks...
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