Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing
Table 2: English-to-German.
['Method', 'News', 'TED']
As can be seen, our methods outperform the baselines on both domains. Notice that, our baseline method achieves 29.09 BLEU when training and testing on TED domain only, where liu2019variance only achieves 28.56 with the same training/testing data, the codebase (i.e., fairseq), and the network structure. This indicates that our reimplemented baseline is rather strong.