On "Human Parity" and "Super Human Performance" in Machine Translation Evaluation

In this paper, we reassess claims of human parity and super human performance in machine translation. These terms have already been discussed, as well as the evaluation protocols used to achieved these conclusions (human-parity is achieved i) only for a very reduced number of languages, ii) on very specific types of documents and iii) with very literal translations). However, we think it is necessary to consider these questions again. We show that the terms used are themselves problematic, and that human translation involves much more than what is embedded in automatic systems. We also discuss ethical issues related to the way results are presented and advertised. Finally, we claim that a better assessment of human capacities should be put forward and that the goal of replacing humans by machines is not a desirable one.