The University of Cambridge Russian-English System at WMT13

The University of Cambridge Russian-English System at WMT13” by Juan Pino, Aurelien Waite, Tong Xiao, Adrià de Gispert, Federico Flego, and William Byrne. In Proceedings of the Eighth Workshop on Statistical Machine Translation, (Sofia, Bulgaria), Aug. 2013, pp. 200-205 (6 pages).

Abstract

This paper describes the University of Cambridge submission to the Eighth Workshop on Statistical Machine Translation. We report results for the Russian-English translation task. We use multiple segmentations for the Russian input language. We employ the Hadoop framework to extract rules. The decoder is HiFST, a hierarchical phrase-based decoder implemented using weighted finite-state transducers. Lattices are rescored with a higher order language model and minimum Bayes-risk objective.

BibTeX entry:

@inproceedings{pino-EtAl:2013:WMT,
   author = {Juan Pino and Aurelien Waite and Tong Xiao and Adri{\`a} de
	Gispert and Federico Flego and William Byrne},
   title = {The {University} of {Cambridge} {Russian-English} System at
	{WMT}13},
   booktitle = {Proceedings of the Eighth Workshop on Statistical Machine
	Translation},
   pages = {200--205 (6 pages)},
   publisher = {Association for Computational Linguistics},
   address = {Sofia, Bulgaria},
   month = aug,
   year = {2013},
   url = {http://www.aclweb.org/anthology/W13-2225}
}

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