Reviews: Dual Learning for Machine Translation

The same goal has been pursued by e.g. The paper does not sufficiently review the work that has been done in this direction and only focuses on the recent work by Sennrich et al. Since the goal of exploiting monolingual data for MT has been in the focus of many works, more empirical comparisons are needed to demonstrate the superiority of their system. It would have been easy to e.g. Also, there has been work on the unsupervised training of noisy-channel models [3] which needs to be mentioned.