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Kernel regression based machine translation

Wang, Z; Shawe-Taylor, J; Szedmak, S; (2007) Kernel regression based machine translation. In: (pp. pp. 185-188). Green open access

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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
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.ucl.ac.uk/id/eprint/5176
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