We introduce a method for learning to predict text completion given a source text and partial translation. In our approach, predictions are offered aimed at alleviating users’ burden on lexical and grammar choices, and improving productivity. The method involves learning syntax-based phraseology and translation equivalents. At run-time, the source and its translation prefix are sliced into ngra...

The aim of this study was to compare the Exceptional Student Learning English (ESLE) web application and traditional application and the evaluation of the ESLE app mainly from the exceptional student parents' perspective. To this end, five exceptional student parents with their exceptional children were selected among 30 parents in Isfahan in Isfahan province. Open-ended questionnaires were sen...

Computer-assisted language learning is by now so common around the world as to be something of a default, and the teaching of the indigenous languages of the Americas is already benefiting from the new technology. Intelligent computer-assisted language learning relies on software that has relatively sophisticated models of the target language and/or the learner. An example is the use of a progr...

The principal objective of this study is to describe and evaluate a holistic training model for language teacher education in an e-learning context, specifically in a cyber face-to-face language learning context. This study first proposes an e-training model called the Practice, Reflective and Collaborative (PRC) model, and discusses the rationale underpinning each key component of the model. T...

Cooperative learning has been found to affect different aspects of language learning by many researchers (e.g., Kagan, 1995; Kagan, 1999; Kessler, 1992; McGroarty, 1993). Likewise, mobile assisted language learning (MALL) has revealed significant impacts on the improvement of different language skills and components (e.g., Comas-Quinn et al. 2009; Divitini & Chabert, 2009; Motallebzadeh & Ganja...

We introduce a method for learning to predict the following grammar and text of the ongoing translation given a source text. In our approach, predictions are offered aimed at reducing users’ burden on lexical and grammar choices, and improving productivity. The method involves learning syntactic phraseology and translation equivalents. At run-time, the source and its translation prefix are slic...

The emerging interdisciplinary field of Intelligent Computer Assisted Language Learning (ICALL) aims to integrate the knowledge from computational linguistics into computer-assisted language learning (CALL). REAP.PT is a project emerging from this new field, aiming to teach Portuguese in an innovative and appealing way, and adapted to each student. In this paper, we present a new improvement of...

Success and failure in language learning are partly determined by the learners’ ability to regulate their emotions. Negative feelings are more likely to frustrate progress, while positive ones make the task of learning a second language (L2) a more effective experience. To date no significant body of research has been carried out into the role of anxiety in the field of computer-assisted langua...