Generative adversarial training for neural machine translation.

•The traditional neural machine translation is typically optimized with human-designed approximate loss function.•The proposed method trains the neural machine translation model to generate human-like translations directly.•The single generator-discriminator net is extended into the multi adversarial net which contains multiple generators and discriminators.•The proposed models achieve significant improvements.