Artificial intelligence is changing and will continue to change the world we live in. These
changes are also influencing the translation market. Machine translation (MT) systems …

Since its existence 10 years ago, the Center for Research and Innovation in Translation and
Translation Technology (CRITT) at the Copenhagen Business School has been involved in …

While several studies report translator resistance to post-editing, translators whose work has
followed the evolution of translation technology may consider post-editing to be translation …

This paper presents a user study with 15 professional translators in the English-Spanish
combination. We present the concept of Machine Translation User Experience (MTUX) and …

The increasing use of post-editing in localisation workflows has led to a great deal of
research and development in the area, much of it requiring user evaluation. This paper …

We test the natural expectation that using MT in professional translation saves human
processing time. The last such study was carried out by Sanchez-Torron and Koehn (2016) …

The three‐way relationship between effort, speed, and quality makes it important for
translation process researchers to find ways to understand and measure the effort that …

Abstract Machine translation (MT) on its own is generally not good enough to produce high-
quality translations, so it is common to have humans intervening in the translation process to …

Natural language translation at the intersection of AI and HCI Page 1 46 COMMUNICATIONS
OF THE ACM | SEPTEMBER 2015 | VOL. 58 | NO. 9 practice ILL US TRA TION B YS TU AR T …

The rapid development of natural language processing in the last three decades has
drastically changed the way professional translators do their work. Nowadays most of them …