Revitalising the Irula Language Through Mobile Language Learning Application

Language serves as a fundamental conduit for transmitting culture within Indigenous communities. The cessation of language use poses a significant risk of extinction, consequently leading to the loss of substantial historical knowledge. India, characterised by its multicultural and multilingual landscape, has 449 indigenous tribal communities. In Tamil Nadu, there are approximately 36 scheduled tribes, six of which are classified as primitive tribal groups. The Irula community is one such group, whose native language is endangered due to factors such as language shift, discrimination, undervaluation of the language, and, notably, the younger generation's lack of interest and motivation to learn it. Mobile-assisted language learning (MALL) technologies have facilitated the development of mobile applications, including games, dictionaries, and translators, which support autonomous learning and revitalisation of languages. This study aims to design and develop an Android-based application that utilises MALL to engage young language learners within the Irula community. This study employs secondary data sources to construct a linguistic dataset, while agile software development methodologies are applied in the creation of MALL. This article elaborates on the architecture and design of MALL. Experimental evaluation on six devices demonstrated stable performance across both iOS and Android platforms, with positive initial user feedback on usability, confirming the app's potential as a tool for Irula language revitalisation.

Authors

Publication Details

Journal
Cureus Journal of Computer Science.
Published
2025-11-13
DOI
https://doi.org/10.7759/s44389-025-08635-7
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revitalising the Irula Language Through Mobile Language Learning Application

A. Dayanand, Uma Devi, Evina Novi Thekkudan, Mohammed Ariz Siddiqui et al.
Cureus Journal of Computer Science.
ICT in Developing Communities
article

Revitalising the Irula Language Through Mobile Language Learning Application

A. Dayanand, Uma Devi, Evina Novi Thekkudan, Mohammed Ariz Siddiqui, Kevin Thomas Jinu
article en

Abstract

Language serves as a fundamental conduit for transmitting culture within Indigenous communities. The cessation of language use poses a significant risk of extinction, consequently leading to the loss of substantial historical knowledge. India, characterised by its multicultural and multilingual landscape, has 449 indigenous tribal communities. In Tamil Nadu, there are approximately 36 scheduled tribes, six of which are classified as primitive tribal groups. The Irula community is one such group, whose native language is endangered due to factors such as language shift, discrimination, undervaluation of the language, and, notably, the younger generation's lack of interest and motivation to learn it. Mobile-assisted language learning (MALL) technologies have facilitated the development of mobile applications, including games, dictionaries, and translators, which support autonomous learning and revitalisation of languages. This study aims to design and develop an Android-based application that utilises MALL to engage young language learners within the Irula community. This study employs secondary data sources to construct a linguistic dataset, while agile software development methodologies are applied in the creation of MALL. This article elaborates on the architecture and design of MALL. Experimental evaluation on six devices demonstrated stable performance across both iOS and Android platforms, with positive initial user feedback on usability, confirming the app's potential as a tool for Irula language revitalisation.

Cureus Journal of Computer Science.
Openalex Percentile: Top 52%
ICT in Developing Communities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Revitalising the Irula Language Through Mobile Language Learning Application — A. Dayanand, Uma Devi, et al. · Cureus Journal of Computer Science. (2025) | TGRS Research Map | TGRS