A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating 'sentence scramble' learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble…

Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…

While translation has been used for centuries for the purpose of language learning, there is no doubt that recent approaches in the area of language and translation pedagogy have helped re-conceptualise -- and re-operationalise -- translation in radically new ways. In the last two decades, the role of translation in language teaching and learning…

We present a tool for the creation and curation of C-tests. C-tests are an established tool in language proficiency testing and language learning. They require examinees to complete a text in which the second half of every second word is replaced by a gap. We support teachers and test designers in creating such tests through a web-based system…

We present SimpleApprenant, a platform aiming to improve French L2 learners' knowledge of Multi Word Expressions (MWEs). SimpleApprenant integrates an MWE database annotated with the Common European Framework of Reference for languages (CEFR) level and several Natural Language Processing (NLP) tools: a spelling checker, a parser, and a set of…

This paper presents a rule-based task-oriented dialogue system for second language learning and a knowledge extraction method which automatically extracts the training data for Natural Language Understanding (NLU) and dialogue rules for dialogue management from a Dialogue Map (DM). The DM consists of turn-by-turn utterances between the system and…

This chapter focuses on the impact of the COVID-19 pandemic on language classes in a Paris university in 2020. The first case studied is a Master of Arts (MA) class in translation studies. The forced and sudden switch to online learning was well accepted by students who cooperated with the academic staff to choose an online platform, in the…

This chapter reports on the 'Corona teaching' in a department of English studies at a German university of technology. It discusses the general frame in the German university system and in this specific department, faculty and university. It focuses on the responses depending on participants and learning objectives. One larger lecture for 1st year…

This paper reports on the ongoing international project "System architecture for ICALL" and the progress made by the Swedish partner. The Swedish team is developing a web-based exercise generator reusing available annotated corpora and lexical resources. Apart from the technical issues like implementation of the user interface and the…

We present a new feedback strategy implemented in a natural language generation-based e-learning system for German as a second language (L2). Although the system recognizes a large proportion of the grammar errors in learner-produced written sentences, its automatically generated feedback only addresses errors against rules that are relevant at…