Adversarial Machine Translation with pytorch
Experimental Neural Machine Translation model,
based on Transformer Networks with Adversarial Target.
Instead of learning translation model by Likelihood maximization,
this model relies on minimization Wasserstein-1 distance between real
translations and parametrized with this model distribution.