Abstract
In recent years, technology, in particular machine translation, has changed the translation industry and translation pedagogy. Translator trainers and translation curricula have been adapting to the new reality by introducing novel in-class activities, skill-sets and modules, such as machine translation post-editing. The integration of machine translation technology in translation curricula has enabled a number of practical and theoretical advancements. At the same time, however, it has brought about various previously unseen challenges. The present study discusses some of these dilemmas, that is, the importance of detecting the effects of machine translation-enhancement in trainee translators, teaching autonomy vis-à-vis machine translation systems, and helping students to understand and take advantage of the added value of human responsibility in post-editing contexts. By focusing on these selected challenges in translator training the study attempts not only to describe their intricate natures in detail but it also aims to propose practical ways of accommodating them in translation curricula.
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Trojszczak, M. (2022). Translator Training Meets Machine Translation—Selected Challenges. In: Lewandowska-Tomaszczyk, B., Trojszczak, M. (eds) Language Use, Education, and Professional Contexts. Second Language Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-030-96095-7_11
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