MOOC Coursera Content Post-editing

This paper presents the post-editing features of machine translation (MT) system Smartling used to translate learning content MOOC (Massive Open Online Course) Coursera. Most Coursera is delivered in English, which one reasons for low uptake these courses Lithuania. With growing demand online resources, need into Lithuanian has become evident and MT systems are increasingly that purpose. describes results an experiment carried out with system. The involved 10 participants, 6 professional 4 non-professional translators, who post-edited a passage from course Science Wellbeing. process was monitored using Translog-II tool, captures participants‘ keystrokes. classification frequency errors. One most important splitting text subtitle lines, cause grammatical Among errors not attributable this division those caused by polysemy words, literal use pronouns. After task, participants filled short questionnaire about functionality 7 rated performance as satisfactory. study showed sufficiently tailored language, translators have lot cognitive effort post-editing.