ItemConference Paper

Enhancing Regional Language Proficiency in Large Language Models Through Translated Datasets

Title
Enhancing Regional Language Proficiency in Large Language Models Through Translated Datasets
Creator
Tiwari, Satyam; Kujur, Lawrence; Shanbhog, Manjula
Description
Although Large Language Models (LLMs) have made significant progress in Natural Language Processing the lack of high-quality training data frequently limits their ability to perform well in regional languages. To improve LLM competency this study methodically translates an English dataset into the low-resource language of Bhojpuri. On this new dataset we apply a structured translation methodology and then refine an LLM that has already been trained. The models capacity to produce contextually relevant and culturally appropriate responses in Bhojpuri has significantly improved according to a comparison of its performance before and after fine-tuning. Our findings show that this translation-centric approach provides a practical and affordable way to enhance the usefulness and inclusivity of LLMs increasing the effectiveness and accessibility of these potent AI tools for underrepresented linguistic groups globally. For linguistic groups that are marginalized globally. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Source
Lecture Notes in Networks and Systems;Volume;1741 LNNS;pp.332-347
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Dataset Translation; Fine-tuning; Large Language Models; Machine Translation; Natural Language Processing; Regional Languages
Coverage
Tiwari S., Christ (Deemed to Be University), School of Science, NCR, Delhi, India; Kujur L., Christ (Deemed to Be University), School of Science, NCR, Delhi, India; Shanbhog M., Christ (Deemed to Be University), School of Science, NCR, Delhi, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-303212826-3;
Format
online
Language
English
Type
Conference paper

Citation

Tiwari, Satyam; Kujur, Lawrence; Shanbhog, Manjula, “Enhancing Regional Language Proficiency in Large Language Models Through Translated Datasets,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/25378.

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