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cs.CL2016
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
Daniel Beck, Lucia Specia, Trevor Cohn
Machine Translation Quality Estimation is a notoriously difficult task, which lessens its usefulness in real-world translation environments. Such scenarios can be improved if quali…
cs.CL2016
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias +2
We address the problem of automatically finding the parameters of a statistical machine translation system that maximize BLEU scores while ensuring that decoding speed exceeds a mi…