Robust Neural Machine Translation with Doubly Adversarial Inputs
Table 3: Results on NIST Chinese-English translation.
['Method', 'Model', 'MT06', 'MT02', 'MT03', 'MT04', 'MT05', 'MT08']
We first compare our approach with the Transformer model Vaswani et al. As we see, the introduction of our method to the standard backbone model (Trans.-Base) leads to substantial improvements across the validation and test sets. Specifically, our approach achieves an average gain of 2.25 BLEU points and up to 2.8 BLEU points on NIST03.