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…

Audio description (AD) is a mode of audiovisual transfer which involves making audiovisual content and live performances accessible to people with sight loss. With the growing demand for this audiovisual translation (AVT) practice, a need has arisen to train professionals in the area. As a result, AD courses have sprung up, both in the form of…

Respeaking is an effective way to make live and pre-recorded television, as well as live events, accessible to a wide audience. Respeakers use speech-recognition software to repeat or paraphrase what is heard through a microphone in a robotic voice while enunciating punctuation and adding colours or labels to identify the speakers. Until now, most…

Project management has been established as a way to organise work in the translation industry. Although research on translator competences has become a cornerstone of Translation Studies, scant attention has been paid to the competences of translation project managers (PMs). The aim of this paper is to present the results obtained from a…

Measuring the quality of information and communication technology (ICT) tools and their impact on learning outcomes is not an easy task. Carol Chapelle, the leading authority on the evaluation of computer-assisted language learning (CALL) tools, wrote in 2008: 'Evaluation of innovation is perhaps the most significant challenge teachers and…

Increasingly, professionally-oriented tertiary institutions are concerned with equipping their students with the English language skills needed in today's global professional world. The recently extended 2018 Common European Framework (CEFR) provides useful guidance to help institutions develop curricula to achieve this goal. This paper describes…

Currently, no machine translation (MT) system is capable of successfully imitating the behavior of a human translator, and there exists no formal description of what an MT system is supposed to do. The biggest problem in practice is disambiguation. However, various types of existing systems do help reduce language barriers, even if they are poor…