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» Model Combination for Machine Translation
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INTERSPEECH
2010
13 years 4 months ago
Combining many alignments for speech to speech translation
Alignment combination (symmetrization) has been shown to be useful for improving Machine Translation (MT) models. Most existing alignment combination techniques are based on heuri...
Sameer Maskey, Steven J. Rennie, Bowen Zhou
COLING
2008
13 years 11 months ago
Improving Statistical Machine Translation using Lexicalized Rule Selection
This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...
Zhongjun He, Qun Liu, Shouxun Lin
ACL
2009
13 years 7 months ago
A Statistical Machine Translation Model Based on a Synthetic Synchronous Grammar
Recently, various synchronous grammars are proposed for syntax-based machine translation, e.g. synchronous context-free grammar and synchronous tree (sequence) substitution gramma...
Hongfei Jiang, Muyun Yang, Tiejun Zhao, Sheng Li, ...
ACL
2008
13 years 11 months ago
Applying Morphology Generation Models to Machine Translation
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
Kristina Toutanova, Hisami Suzuki, Achim Ruopp
CICLING
2009
Springer
14 years 10 months ago
Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation
We use existing tools to automatically build two parallel treebanks from existing parallel corpora. We then show that combining the data extracted from both the treebanks and the ...
John Tinsley, Mary Hearne, Andy Way