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COLING
2010

An Empirical Study of Translation Rule Extraction with Multiple Parsers

8 years 9 months ago
An Empirical Study of Translation Rule Extraction with Multiple Parsers
Translation rule extraction is an important issue in syntax-based Statistical Machine Translation (SMT). Recent studies show that rule coverage is one of the key factors affecting the success of syntaxbased systems. In this paper, we first present a simple and effective method to improve rule coverage by using multiple parsers in translation rule extraction, and then empirically investigate the effectiveness of our method on ChineseEnglish translation tasks. Experimental results show that extracting translation rules using multiple parsers improves a string-to-tree system by over 0.9 BLEU points on both NIST 2004 and 2005 test corpora.
Tong Xiao, Jingbo Zhu, Hao Zhang, Muhua Zhu
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors Tong Xiao, Jingbo Zhu, Hao Zhang, Muhua Zhu
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