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• W2108920210 abstract "This paper proposes a novel semi-supervised word alignment technique called EMDC that integrates discriminative and generative methods. A discriminative aligner is used to find high precision partial alignments that serve as constraints for a generative aligner which implements a constrained version of the EM algorithm. Experiments on small-size Chinese and Arabic tasks show consistent improvements on AER. We also experimented with moderate-size Chinese machine translation tasks and got an average of 0.5 point improvement on BLEU scores across five standard NIST test sets and four other test sets." @default.
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• W2108920210 date "2010-08-23" @default.
• W2108920210 modified "2023-09-23" @default.
• W2108920210 title "EMDC: A Semi-supervised Approach for Word Alignment" @default.
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