Robust Neural Machine Translation with Doubly Adversarial Inputs
Table 4: Results on WMT’14 English-German translation.
['Method', 'Model', 'BLEU']
We compare our approach with Transformer for different numbers of hidden units (i.e. 1024 and 512) and a related RNN-based NMT model RNMT+ Chen et al. Recall that our approach is built on top of the Transformer model. The notable gain in terms of BLEU verifies our English-German translation model.