This enables us to use standard stochastic gradient optimization for training the proposed model.
there are three essential components in VNMT (The detailed architecture is illustrated in Figure 2): • A variational neural encoder transforms source/target sentence into distributed representations, which is the same as the encoder of NMT ) (see section 3.1).