Neural machine translation is a recently proposed approach to machine translation. Unlike
the traditional statistical machine translation, the neural machine translation aims at building
a single neural network that can be jointly tuned to maximize the translation performance.
The models proposed recently for neural machine translation often belong to a family of
encoder-decoders and consists of an encoder that encodes a source sentence into a fixed-
length vector from which a decoder generates a translation. In this paper, we conjecture that …