Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
Table 1: Effect of guiding decoding strategy on the IWSLT16 validation set (The results on all datasets are in the appendix).
['Model', 'Decoding Strategy', 'IWSLT16']
We also investigate the effect of two proposed guiding decoding strategies including DGD and NDGD on IWSLT16 validation set. However, we also find that the NDGD strategy does not bring many improvements for our best model with AT reordering module. The reason is perhaps that the pseudo-translation generated by AT reordering module is good enough and therefore it does not bring in much information loss in the whole translation. We use NDGD as the default decoding strategy in the following experiments.