In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…

Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…

The study focuses on literary translation between languages of low diffusion (LLD) from the perspective of a culture using such a language. The position of a language group in the world translation system determines the general flow of literary translation, but the specifics for the translation of an individual LLD may depend on a number of…

Drawing from research on revision competence and revision didactics, and based on the proposal of a multi-component revision competence model, a short-term revision course was offered in 2015 as part of a Specialized Translation module. During the course, students were also involved in an experimental study whose overall aim was to investigate the…

It has been argued that the growing impact of new technologies on society should be reflected in education in response to the digital generation's extensive dependence on digital tools. This paper focuses on the incorporation of digital technologies into translator training by comparing the benefits and drawbacks of "wikis," a…

This paper presents the ERASMUS+ "DigiLing" project, which aims to teach and improve linguists' and translators' skills and knowledge of digitalisation to prepare them for today's job market. Against this background, it discusses the development of digital competencies and distinguishes them from traditional domain-specific and general…

Increasing project complexity and a high level of specialization in the language industry have resulted in a demand for translation professionals with sophisticated technical skills. This has made computer-assisted translation (CAT) tools indispensable for translators in order to meet project requirements. With a rapidly changing industry…

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…