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ACL
2010

Improving Statistical Machine Translation with Monolingual Collocation

10 years 11 months ago
Improving Statistical Machine Translation with Monolingual Collocation
This paper proposes to use monolingual collocations to improve Statistical Machine Translation (SMT). We make use of the collocation probabilities, which are estimated from monolingual corpora, in two aspects, namely improving word alignment for various kinds of SMT systems and improving phrase table for phrase-based SMT. The experimental results show that our method improves the performance of both word alignment and translation quality significantly. As compared to baseline systems, we achieve absolute improvements of 2.40 BLEU score
Zhan-yi Liu, Haifeng Wang, Hua Wu, Sheng Li
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where ACL
Authors Zhan-yi Liu, Haifeng Wang, Hua Wu, Sheng Li
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