Minimum Risk Training for Neural Machine Translation

ACL 2016 Shiqi ShenYong ChengZhongjun HeWei HeHua WuMaosong SunYang Liu

We propose minimum risk training for end-to-end neural machine translation. Unlike conventional maximum likelihood estimation, minimum risk training is capable of optimizing model parameters directly with respect to arbitrary evaluation metrics, which are not necessarily differentiable... (read more)

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