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…

Recent developments in mobile technologies have increased the ways in which languages can be learnt, both within and beyond the classroom. Whereas the use of mobile technologies seems to challenge traditional knowledge and skills acquisition, research shows that foreign language study can be enriched through easy access to resources selected to…

In this short paper, we present some initial work on Mobile Assisted Language Learning (MALL) undertaken by the ATLAS research group. ATLAS embraced this multidisciplinary field cutting across Mobile Learning and Computer Assisted Language Learning (CALL) as a natural step in their quest to find learning formulas for professional English that…