Neural Machine Translation with Reconstruction
Table 7: Comparison with previous work on enhancing adequacy of NMT. “Cov.” denotes coverage mechanism to keep track of the attention history [Tu et al.2016b], and “Ctx.” denotes context gate to dynamically control the ratios at which source and target contexts contribute to the generation of target words [Tu et al.2016a].
['[BOLD] Model', '[BOLD] Test', '△']
We re-implement the methods of \citeauthorTu:2016: ACL \shortciteTu:2016: ACL,Tu:2016: arXiv on top of RNNSearch. Coverage mechanism and context gates significantly improve translation performance individually, and combining them achieves a further improvement. Our model consistently improves the translation performance when further combined with the models.