Approximate Distribution Matching for Sequence-to-Sequence Learning
Table 1: Experimental results on IWSLT-2014 German-English Machine Translation Task
['[BOLD] Model', '[BOLD] DE2EN', '[BOLD] EN2DE']
, augmentation-based method (Softmax-Q) and state-of-the-art method (Transformer). From the table, we can observe that our distribution matching method outperforms all these methods and brings significant gains in both translation directions.