Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1473
Title: Learning Assistant To Acquire The Fundamental Language Skills for Non-Native Learners Using AI
Authors: Srikanthan, P.
Nizar, R.
Ravikumar, A.
Lalitharan, K.
Harshanath, S.M.B.
Alosius, J.
Keywords: English language learning
Grammar skills Listening skills
Machine Learning
Mobile learning
Speaking skills
Issue Date: 10-Dec-2020
Publisher: 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT
Series/Report no.: Vol.1;
Abstract: The ability to speak and learn a language properly requires good practice, experience and good learning strategies but the existing solutions do not provide proper guidance to learn a language with instant feedback. This research is an approach to devise an improved language learning assistant with practices that will help to improve the fundamental language skills for non-native learners and children who are in the early stage of their education. The four main skills focused on this application will be conversation, pronunciation, listening and grammatical skills. The implementation of this research is done by using technologies like natural language processing, machine learning, and deep learning approaches to come up with components to train the learner. The solution of this research is delivered by using a cross-platform application called GLIB which facilities to improve all the English language skills mentioned above along with guides, tips, practices, and feedback based on an evaluation to improve the English language.
URI: http://rda.sliit.lk/handle/123456789/1473
ISBN: 978-1-7281-8412-8
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Department of Computer Science and Software Engineering-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE

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