Syntactic complexity has long been used to gauge language learners' performance, proficiency, and development, offering language teachers valid recommendations for syllabus design and materials development. Progress in syntactic complexity research foreshadows the imperative of measuring syntactic features at a high level of granularity, which…

Despite the unquestionable academic interest on corpus-based approaches to language education, the use of corpora by teachers in their everyday practice is still not very widespread. One way to promote usage of corpora in language teaching is by making pedagogically appropriate corpora, labelled with different types of problems (for instance,…

We propose five research tasks targeting grammar teaching and learning, focusing on extending previous research and exploring under-studied features and contexts. The first two tasks outline replications and extensions of seminal studies on pedagogical grammar, Toth (2008) and Samuda (2001), designed to advance our understanding of the teacher…

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…

The goal of this article is to make the case for a radical exemplar account of child language acquisition, under which unwitnessed forms are produced and comprehended by on-the-fly analogy across multiple stored exemplars, weighted by their degree of similarity to the target with regard to the task at hand. Across the domains of (1) word meanings,…

Strong claims are made regarding the significant role that multiword sequences play in the comprehension and production of speech and writing. Although the literature is replete with research-informed, evidence-based guidelines on how to maximize the learning of such sequences, such guidelines need to be synthesized, analyzed and evaluated for…

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…

Current communication is increasingly computer-mediated, dynamic, dialogic, and global, so students should master new information, communication technologies, and digital genres, as well as acknowledge the global role of the English language. Thus, this paper aims to offer a teaching proposal, to be ideally implemented in the secondary education…