Chunking, the process of breaking texts into meaningful units, is a fundamental skill in interpreting. This study investigates the potential benefits of a computer-assisted chunking method, visual-syntactic text formatting (VSTF) to improve translators' performance. In the study, three passages with similar readability were randomly presented to…

Translation graduates need organisational skills to be able to cooperate in translation service production workflows. This paper explores the development of translation students' workflow conceptions in a simulated translation company learning environment. Using the standard ISO 17100 as a frame of reference for a content analysis of student…

Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…

This study investigated the effects of three fluency-enhancing activities on interpreting learners' performance. Four groups of students took part in the experiment. They were assigned to one of the four task conditions: pre-task planning, task repetition, formulae acquisition, and a control group. A temporal approach was adopted to measure…