SiLearn: an intelligent sign vocabulary learning tool
Journal of Enabling Technologies
ISSN: 2398-6263
Article publication date: 28 August 2019
Issue publication date: 3 September 2019
Abstract
Purpose
Vocabulary learning is a difficult task for children without hearing ability. Absence of enough learning centers and effective learning tools aggravate the problem. Modern technology can be utilized fruitfully to find solutions to the learning difficulties experienced by the deaf. The purpose of this paper is to present SiLearn – a novel technology based tool for teaching/learning sign vocabulary.
Design/methodology/approach
The proposed mobile application can act as a visual dictionary for deaf people. SiLearn is equipped with features that can automatically detect both text and physical objects and convert them to their corresponding signs. For testing the effectiveness of the proposed mobile application quantitative analyses were done. Quantitative analysis is based on testing a class of 28 students belonging to St Clare Oral School for the Deaf, Kerala, India. This group consisted of 17 boys and 11 girls. Analysis was also done through questionnaire. Questionnaires were given to teachers, parents of deaf students learning sign language and other sign language learners.
Findings
Results indicate that as SiLearn is very effective in sign vocabulary development. It can enhance vocabulary learning rate considerably.
Originality/value
This is the first time that artificial intelligence (AI) based techniques are used for early stage sign language learning. SiLearn can equally be used by children, parents and teachers for learning sign language.
Keywords
Acknowledgements
The authors would like to thank ISL Research and Training Centre (ISLRTC) for making Sign Language visual dictionary publicly available. This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.
Citation
Joy, J., Balakrishnan, K. and M., S. (2019), "SiLearn: an intelligent sign vocabulary learning tool", Journal of Enabling Technologies, Vol. 13 No. 3, pp. 173-187. https://doi.org/10.1108/JET-03-2019-0014
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited