Singapore University of Social Sciences

TNT501 Human and Machine Translation Quality Assessment provides students with a comprehensive view of different models and tools that can be used to evaluate the quality of translation done by human and machine. Students will explore existing translation quality assessment frameworks set out by professional bodies in the world. Taking into consideration socio-cultural and situational contexts, students will select relevant models and tools to evaluate human and machine translation output of different genres, registers, media and purposes. Through practice, students will gain insights into differences between human translation and machine translation in terms of quality. Such insights will enable students to recommend a quality assessment strategy appropriate to a specific project. Guest speakers from the industry will be invited to share their experience and insights. At the end of the course, students will be able to construct models of translation quality assessment with objectivity, validity and inter-rater reliability.