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» Machine Translation System Combination by Confusion Forest
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COLING
2010
14 years 4 months ago
Log-linear weight optimisation via Bayesian Adaptation in Statistical Machine Translation
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
Germán Sanchis-Trilles, Francisco Casacuber...
CICLING
2007
Springer
15 years 3 months ago
Enhancing Cross-Language Question Answering by Combining Multiple Question Translations
One major problem of state-of-the-art Cross Language Question Answering systems is the translation of user questions. This paper proposes combining the potential of multiple transl...
Rita M. Aceves-Pérez, Manuel Montes-y-G&oac...
ACL
2012
13 years 1 days ago
Deciphering Foreign Language by Combining Language Models and Context Vectors
In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
Malte Nuhn, Arne Mauser, Hermann Ney
79
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CICLING
2009
Springer
15 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
COLING
2008
14 years 11 months ago
Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora
tra Statistical machine translation systems are usually trained on large amounts of bilingual text and monolingual text. In this paper, we propose a method to perform domain adapta...
Hua Wu, Haifeng Wang, Chengqing Zong