Machine Translation (MT) is receiving increasing attention within language education due to both its affordances and the potential it offers for academic misconduct. To understand more about teachers' views and practices, a survey was conducted with 153 foreign language (L2) educators who teach at Japanese universities. The survey examined their;…

Corpora are valuable technology-supported learning resources to be used by autonomous language learners or during teacher-guided lessons. This study explores the potential of corpus consultation approaches for the improvement of English for Specific Purposes (ESP) students' academic writing skills. We investigated the effects of three types of…

[For the complete volume, "CALL and Professionalisation: Short Papers from EUROCALL 2021 (29th, Online, August 26-27, 2021)," see ED616972.]This study investigated whether a translation tool (Microsoft Translator -- MT) and its built-in speech features (Text-To-Speech synthesis -- TTS -- and speech recognition) can promote learners'…

This paper summarises the contributions to EuroCALL's CorpusCALL SIG Symposium for the year 2020. In line with this year's EuroCALL conference theme, 'CALL for widening participation', the Symposium centred around the theme of "Data-driven learning for languages other than English." This paper gives a brief overview of developments and…

Parallel texts in the form of Graded Readers have a long tradition in foreign language learning. When presenting the translation in the reader's first language alongside the target language text, parallel texts offer access to literary texts, to their stories, characters, plot developments, and cultural content, without the need for time-consuming…

This paper presents a brief overview of LARA (Learning And Reading Assistant), an open source online tool that has been under development since summer 2018. LARA currently contains a corpus of about 25 texts in ten languages and a crowdsourcing model used to expand the corpus. The central goal is to provide support for improving second language…

This study aims to investigate the effectiveness of Data-Driven Learning (DDL) teaching materials based on learner corpus data. The data analysed is made up of texts written by a group of Italian university students and collected as part of the Italian component of the "Longitudinal Database of Learner English" (LONGDALE) project:…