Machine learning (ML) and machine translation (MT) technologies have increasingly become involved in translation studies and practices. Compared with human's intuitive reflections on language, machine perception is largely based on mathematical calculation and statistical inference. While a neural machine translation engine aims to mimic human’s cognitive behavior, it is a learning machine in nature and...
The problem: One aspect of training professional translators involves acquainting students with a range of genres and specific fields that they might encounter in professional life. Instructors are faced with the challenge of discussing and evaluating translations in fields as disparate as the law, business, literature, current affairs, medicine, science and technology, despite having little...
At this event we will be discussing curricula, pedagogical methods and more, and the session is open to all subscribers of this network. For more information and to enquire about joining this network please email m.s.ward@leeds.ac.uk
The introductory forum for this network was conducted on Jan.14th, 2021, and was attended by over 20 academics engaged in teaching translation at undergraduate and postgraduate level at universities in a number of countries. The event provided the opportunity to discuss some of the challenges facing translation pedagogy practitioners in this field and begin to...