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…

In order to develop pragmatic competence in a language other than our own (L2), it is important to have enough knowledge of the cultural norms of the target language and enough opportunities to interact with a wide range of speakers to deploy different speech acts, registers, levels of politeness, conversational moves, and the like. The…

This paper presents a chatbot for a Dialogue-Based Computer Assisted Language Learning (DB-CALL) system. The chatbot helps users learn language via free conversations. To improve the chatbot performance, this paper adopts a Neural Machine Translation (NMT) engine to combine with an existing search-based engine, and also extracts a small domain…

This article introduces three important challenges and possible solutions when using spoken dialogue to measure the use of specific multiword expressions. The first challenge is deciding whether to count precise and accurate use of target expressions only or whether to extend the count to include variation. The second challenge requires addressing…

Within the landscape of educational data, textual natural language is an increasingly vast source of learning-centered interactions. In natural language dialogue, student contributions hold important information about knowledge and goals. Automatically modeling the dialogue act of these student utterances is crucial for scaling natural language…