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.