Robust Neural Machine Translation with Doubly Adversarial Inputs
Table 2: Comparison with baseline methods trained on different backbone models (second column). * indicates the method trained using an extra corpus.
['Method', 'Model', 'MT06', 'MT02', 'MT03', 'MT04', 'MT05', 'MT08']
Among all methods trained without extra corpora, our approach achieves the best result across datasets. After incorporating the back-translated corpus, our method yields an additional gain of 1-3 points over Sennrich et al. Since all methods are built on top of the same backbone, the result substantiates the efficacy of our method on the standard benchmarks that contain natural noise. Compared to Miyato et al.