Wang, Z;
Shawe-Taylor, J;
Szedmak, S;
(2007)
Kernel regression based machine translation.
In:
(pp. pp. 185-188).
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Abstract
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.
Type: | Proceedings paper |
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Title: | Kernel regression based machine translation |
Open access status: | An open access version is available from UCL Discovery |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/5176 |
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