A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, pp. 653.0-672, 2020.
The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional human translation in a number of empirical investigations. We reassess Hassan et al.'s 2018 investigation into Chinese to English news translation, showing that the finding of human-mac...More
PPT (Upload PPT)