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2009
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An EM algorithm for SCFG in formal syntax-based translation

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An EM algorithm for SCFG in formal syntax-based translation
In this paper, we investigate the use of bilingual parsing on parallel corpora to better estimate the rule parameters in a formal syntax-based machine translation system, which are normally estimated from the inaccurate heuristics. We use an Expectation-Maximization (EM) algorithm to re-estimate the parameters of synchronous context-free grammar (SCFG) rules according to the derivation knowledge from parallel corpora based on maximum likelihood principle, rather than using only the heuristic information. The proposed algorithm produces significantly better BLEU scores than a state-of-theart formal syntax-based machine translation system on the IWSLT 2006 Chinese to English task.
Songfang Huang, Bowen Zhou
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Songfang Huang, Bowen Zhou
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