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…

Describes how performance in three different foreign-language tasks varied according to certain learner characteristics. The tasks are spontaneous writing, revised writing, and passage-based error detection. The writing is evaluated according to syntactic, morphological and orthographic accuracy; writing speed; and linguistic complexity. (34…