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» Explanation-based Learning for Machine Translation
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CICLING
2010
Springer
14 years 29 days ago
Identification of Translationese: A Machine Learning Approach
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...
Iustina Ilisei, Diana Inkpen, Gloria Corpas Pastor...
ACL
2006
13 years 11 months ago
An End-to-End Discriminative Approach to Machine Translation
We present a perceptron-style discriminative approach to machine translation in which large feature sets can be exploited. Unlike discriminative reranking approaches, our system c...
Percy Liang, Alexandre Bouchard-Côté,...
EMNLP
2007
13 years 11 months ago
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Jonathan May, Kevin Knight
NAACL
2007
13 years 11 months ago
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
This paper explores the use of statistical machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to...
Yuk Wah Wong, Raymond J. Mooney
EMNLP
2009
13 years 7 months ago
Synchronous Tree Adjoining Machine Translation
Tree Adjoining Grammars have well-known advantages, but are typically considered too difficult for practical systems. We demonstrate that, when done right, adjoining improves tran...
Steve DeNeefe, Kevin Knight