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In this paper, we propose to use various global features for discriminative reranking in an SMT framework. We employ an online large-margin based training algorithm for the structural output support vector machines based on the margin infused relaxed algorithm. Besides the standard features used, such as decoder's scores, source and target sentences, alignments and part-of-speech tags, we include...
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