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EMNLP
2009

Lattice-based System Combination for Statistical Machine Translation

9 years 9 months ago
Lattice-based System Combination for Statistical Machine Translation
Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candidate translations, confusion networks have difficulty in handling more general situations in which several words are connected to another several words. Instead, we propose a lattice-based system combination model that allows for such phrase alignments and uses lattices to encode all candidate translations. Experiments show that our approach achieves significant improvements over the state-ofthe-art baseline system on Chinese-to-English translation test sets.
Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan L&
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where EMNLP
Authors Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan Lü
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