Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Table 3: Performance comparison of the translation and evaluation modules on the CN\rightarrowEN and EN\rightarrowDE translation tasks. Ground truth is fed to both the modules and only one reference was used for the CN\rightarrowEN translation.
['[EMPTY]', '[BOLD] MT03', 'MT04', 'MT05', 'MT06', 'MT08', 'AVE', '[BOLD] EN\\rightarrowDE']
The margin is bigger on the CN\rightarrowEN translation than on the EN\rightarrowDE translation which also gives an explanation to why the improvement on the CN\rightarrowEN is much bigger. Then we can conclude that it is reasonable to leverage the evaluation module to help optimize the translation module.