This paper is based within the framework of step-by-step approach to teaching legal translation. The underlying philosophy behind this approach is that when specific aspects of legal translations are tackled in isolation and trainees become aware of the pitfalls involved and the possible solutions, this helps them in further training as well as in…

Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…

Ethical awareness is arguably becoming ever more relevant with the increasing digitalisation of professional practice. Ethical dilemmas are changing in nature, becoming more diverse and more difficult to tackle, also as technologically infused realities give rise to more blurry boundaries. Language professionals, in training for the roles of the…

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…

This paper sets out to bridge the gap between theory and practice by suggesting activities and resources that could be used in the audiovisual translation (AVT) classroom when training students to achieve credible and natural-sounding dialogue in dubbing. Following a competence- and task-based approach, these activities have been implemented by…

Recurring expressions and idiolectal speech patterns are often used by the scriptwriters of sitcoms to portray the personality of some of the characters. These expressions, which in many cases end up becoming popular, are so significant that they need be kept in the translated versions of these series. A corpus-based script analysis method that…

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 introductory article will illustrate how ergonomics has come to occupy a prominent place in translation and interpreting studies. It will review the studies that have been carried out in recent years to measure physical, cognitive and organisational conditions within the language industry. It will be argued that, despite the growing awareness…

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…

Video games have become one of the most popular forms of entertainment in the modern digital society. The global success of the game industry has fostered the development of the game localisation industry, as developers and publishers strive to sell their games in different languages and territories to maximise their return on investment. This, in…

This paper presents the mentoring programme carried out by Professional Association of Translators and Interpreters of Catalonia (APTIC) based on a multiple-mentoring model. It was offered during the academic years 2015/2016 and 2016/2017 in collaboration with the Universitat Autònoma de Barcelona and the Universitat de Vic and will continue in…

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…