Machine Translation (MT) is one of the few fields in the area of machine learning that is already well developed. Nevertheless, in the professional language market – the domain of professional translators – MT is only used on a small scale.
By and large, MT technology currently serves to give people a basic understanding of texts written in a foreign language that they do not know. Yet MT has, as we argue in this paper, a huge potential to turbocharge the productivity of professional translators. Thereby, it will support and augment rather than replace and do away with professional translation.
