Kernel regression based machine translation.
Association for Computational Linguistics, Rochester, NY, USA East Stroudsburg, PA, 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.
|Title:||Kernel regression based machine translation|
|Additional information:||Imported via OAI, 7:29:01 20th Mar 2008|
|UCL classification:||UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
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