When it comes to machine translation (MT), the question of quality and how to effectively carry out evaluations has always been near the top of the agenda. The topic came even further into focus with the advent of neural machine translation, and that’s when we were introduced to a new phrase: human parity.
An MT engine that has achieved human parity means, ostensibly, that it can produce translations of equal quality to those produced by a human translator.