Speech and Language Technology in Education (SLaTE 2013)

Grenoble, France
August 30-September 1, 2013

Off-Line Mobile-Assisted Vocabulary Training for the Developing World

Nic J. de Vries (1), Febe de Wet (1,2)

(1) Human Language Technologies Research Group, Meraka Institute, CSIR, Pretoria, South Africa
(2) Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa

Mobile-assisted language learning applications (MALL) has significant potential in the developing world where access to teachers and classrooms are real barriers to learning.
   This demonstration of an Android-based mobile language learning application is used to teach vocabulary and employs off-line Automatic Speech Recognition (ASR) and Text-to-speech (TTS) technologies with custom-built language and acoustic models, incorporating the key design criteria outlined in the article.

Index Terms: Computer-assisted language learning (CALL), Mobile-assisted language learning (MALL), Automatic Speech Recognition (ASR), Text-to-speech (TTS) synthesis, Android, on-device ASR and TTS, game-based learning, developing world

Full Paper

Bibliographic reference.  Vries, Nic J. de / Wet, Febe de (2013): "Off-line mobile-assisted vocabulary training for the developing world", In SLaTE-2013, 102-103.