The University of Cambridge Russian-English System at WMT13
Juan Pino, Aurelien Waite, Tong Xiao, Adrià de Gispert, Federico Flego, Bill Byrne · Workshop on Statistical Machine Translation · 2013
This paper describes the University of Cambridge submission to the Eighth Workshop on Statistical Machine Translation. We report results for the RussianEnglish 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 finitestate transducers. Lattices are rescored with a higher order language model and minimum Bayes-risk objective.