The fact that the two models start from and converge to very different points, yet have similar training set performances, indicates that our architecture 13.9 14.7 13.8 13.7 14.4 and training algorithm are able to reach a good minimum of the training objective regardless of the initialization.
in this paper, we describe a method for substantially improving NMT results on these languages.