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…

Intelligent Computer-Assisted Language Learning (ICALL) involves using tools and techniques from computational linguistics and Natural Language Processing (NLP) in the language learning process. It is an inherently complex endeavour and is multi-, inter-, and trans-disciplinary in nature. Often these tools and techniques are designed for tasks and…

Busuu (https://www.busuu.com) is one of several existing Social Networking Sites for Language Learning (SNSLLs). According to Álvarez (2016), it has all the features an SNSLL should have. However, once Busuu migrated to a mobile compatible platform in 2016, it lost some of the social aspects of a Social Networking Site (SNS) determined by Boyd and…

Problematic smartphone usage has been widely recognized (e.g. Al-Barashidi, Bouazza, & Jabur, 2015; Chóliz, 2012). However, few researchers have investigated the relationship between students' feelings towards their smartphones and their acceptance of Mobile-Assisted Language Learning (MALL). This exploratory study of thirty-six Japanese…

Little by little, (or, simply, MALL) is taking force in the field of education, as it supports language blended learning and language learning ubiquity. The study presented here belongs in the Social Ontology-based Cognitively Augmented Language Learning Mobile Environment (SO-CALL-ME) research project, whose final aim is to design and create…

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…

This paper is part of a larger project that examines some of the best-selling iPhone apps designed to learn English pronunciation. Informed by the literature on pronunciation teaching/acquisition, Computer Assisted Pronunciation Teaching (CAPT), Computer Assisted Language Learning (CALL) and Mobile-learning (M-learning), it provides a critical…

This paper is part of a work-in-progress that reports on the design, development, and evaluation of a Digital Collaborative Strategic Reading (DCSR) application with regard to its effectiveness in improving English as a second language (ESL) reading comprehension. The DCSR application allows users to read collaboratively on multitouch and…