PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Kernel regression based machine translation
Zhuoran Wang, John Shawe-Taylor and Sandor Szedmak
In: Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), Short Paper Session, 22-27 April 2007, Rochester, NY, USA.


We present a novel machine translation framework based on kernel regression techniques. In our model, the translation task is viewed as a string-to-string mapping, for which a regression type learning is employed with both the source and the target sentences embedded into their kernel induced feature spaces. We report the experiments on a French-English translation task showing encouraging results.

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:3057
Deposited By:Zhuoran Wang
Deposited On:09 November 2007