Computer Assisted Translation (CAT) and Machine Translation (MT) technology are modifying the translation profession. However, it is unclear where this development leads and how translation technologies can best help translators produce better translations faster. There is wide agreement among translation scholars that expert translators solve translation problems in a different manner than non-expert translators, but does that also hold for machine translation post-editing?  And   if   so,   how   can  we   assess  and  compare   these   different  processes. How   exactly   is   human  translation production different from human post-editing of MT output? For instance, is there anything like "post-editing expertise" which compares to "translation expertise"? How are these two types of expertise different from each other?

We are also interested in how advanced interactive CAT and MT technologies can be designed. How can the

results from translation process research be applied to produce better automated translation aids which could better

support human translators in their work? Can a better understanding of human translation processing help us design

better CAT systems? Are there more and better ways to deploy the translation technology than merely post-editing

machine generated translations?