Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
Table 3: BLEU scores on Chinese-English translation. * indicates the validation set. The results on MT6 and MT8 are in the appendix.
['Model', 'MT2*', 'MT3', 'MT4', 'MT5']
To show the effectiveness of modeling reordering information in NAT, we compare ReorderNAT with baselines on Chinese-English translation since the language structure between Chinese and English is more different than that between German and English (En-De). The reason is that the problem of explosive decoding search space is more severe in Chinese-English translation, which could effectively alleviate by ReorderNAT.