Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Table 5: Results on German-English
['System', 'DE-14', 'DE-1213']
We find that our proposed model improves the dl4mt baseline on both the translation adequacy and fluency aspects. Specifically, the over translation error rate drops by 6%, which confirms the assumption in the introduction that splitting the fast and slow varying components in different time-scales could help alleviate the over translation errors.