Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal VIVID Journal of Language and Literature Journal of Digital Sociohumanities
Krishna, Devina
Unknown Affiliation
Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Digital Sociohumanities

 1 
Impact of AI- Powered Translation Tools: Upholding Indian Linguistic Diversity Krishna, Devina; Gupta, Vadini; Kumari, Kiran; Nidhi, Kumari
Journal of Digital Sociohumanities Vol. 2 No. 2 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jds.2.2.70-80.2025

Abstract

This paper aims to investigate the transforming potential of AI-driven translating tools in safeguarding and advancing India’s great linguistic variety. By allowing their translation into generally spoken tongues, technologies including Bhashini, Anuvadini, Google Translate, and DeepL are becoming increasingly effective tools for bridging linguistic barriers and reducing the loss of threatened languages. By doing this, these instruments become quite important in preserving cultural identities and guaranteeing the survival of linguistic legacy. This study emphasizes how AI translation tools not only improve efficient communication among many language communities but also greatly help to digital archiving of languages for next generations, so increasing their accessibility and understandable value to more general audiences. This paper shows that AI-driven translating tools not only serve as means of linguistic preservation but also as essential resources for ensuring the continuous relevance and survival of India’s several languages in the digital era by combining a mixed-methods approach—integrating both quantitative survey data collected via WhatsApp and Instagram and qualitative insights drawn from academic articles, web sources. These results have broad ramifications since they highlight the pressing need of legislators, technologists, and cultural players to fund the creation of inclusive, accurate, and sensitive AI language tools. Moreover, the research implies that ensuring that minority and threatened languages are meaningfully reflected in the digital sphere will depend on cooperative efforts among local communities, linguists, and technology developers. This study creates opportunities for future innovation aiming at promoting linguistic equity and cultural sustainability in India and beyond by advancing the debate on the ethical and cultural obligations of artificial intelligence development.
An Analysis of WhatsApp Interactions Among Youth: A Case of Language Attrition Shubhra, Shubhra; Krishna, Devina
Journal of Digital Sociohumanities Vol. 1 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jds.1.2.63-74.2024

Abstract

This study delves into the intriguing world of language dynamics within the popular messaging platform, WhatsApp, focusing on how young people communicate. Through the course of its research, this study aims to uncover a fascinating phenomenon called ‘Language Attrition’ - a subtle transformation in the way languages are used in this digital space. On WhatsApp, users seamlessly blend their native languages with a more global one. This results in a unique linguistic landscape where expressions from different languages coexist, sometimes making it challenging to distinguish between them. With India being a multilingual nation, the study explores the potential loss or degradation of languages due to the leniency and carelessness of social media language. The paper employs a mixed-method approach, combining qualitative analysis of WhatsApp conversations with a digital questionnaire survey. The research investigates factors such as the prevalence of emoticons, code-switching, and multilingualism, shedding light on the multifaceted dimensions of language attrition. The research investigates factors such as the prevalence of emoticons, code-switching, and multilingualism, shedding light on the multifaceted dimensions of language attrition. The insights aim to prompt one to perceive language attrition not merely as an academic curiosity but as a catalyst for proactive measures.
Co-Authors Astha, Astha Gupta, Vadini Kumari, Kiran Nidhi, Kumari Shubhra, Shubhra Singh, Anchal Thakur, Isha Satyanand