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COLING
2010

EMDC: A Semi-supervised Approach for Word Alignment

8 years 11 months ago
EMDC: A Semi-supervised Approach for Word Alignment
This paper proposes a novel semisupervised 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.
Qin Gao, Francisco Guzmán, Stephan Vogel
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors Qin Gao, Francisco Guzmán, Stephan Vogel
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