Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

Computational Approaches to Revitalize Maithili Literature - Bridging Tradition and Technology

Authors
Anu Priya1, *, Md. Irfan Alam2
1Jharkhand Rai University, Ranchi, Jharkhand, India
2Jharkhand Rai University, Ranchi, Jharkhand, India
*Corresponding author. Email: anupriya4658@gmail.com
Corresponding Author
Anu Priya
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_21How to use a DOI?
Keywords
Cultural evolution; Maithili literature; Morphological Analysis; NLP; Sentiment Analysis
Abstract

Maithili literature, with its origins traced back to the 7th century AD, represents a vital cultural and linguistic tradition that has evolved through centuries of socio-political and cultural transformations. This paper delves into the comprehensive evolution of Maithili literature, categorizing its development into three distinct eras—early, middle, and modern. Through an analysis of seminal works, including VarṇaRatnākara by Jyotirishwar Thakur, Padāvali by Vidyapati, and Payasvini by Surendra Jha, the study explores the intricate interplay of historical events, linguistic evolution, and literary creativity that shaped Maithili literature across these periods.

The research extends beyond traditional literary analysis by integrating contemporary computational linguistics, offering a novel interdisciplinary approach to the study of Maithili texts. Utilizing recent advancements in Natural Language Processing (NLP) for low-resource languages, the study highlights applications such as sentiment analysis, named entity recognition, and morphological analysis in the context of Maithili literature. This computational perspective not only facilitates deeper insights into the thematic and stylistic nuances of classical texts but also underscores the potential of technology in preserving and enhancing access to Maithili’s literary heritage.

Moreover, the study addresses the challenges associated with computational modeling of Maithili, including the scarcity of annotated datasets, limited digital resources, and linguistic complexities unique to the language. It outlines innovative methodologies to overcome these barriers, emphasizing the creation of linguistic resources, digitization of classical texts, and development of domain-specific NLP tools. By bridging the gap between computational techniques and traditional literary scholarship, this paper aims to foster interdisciplinary research and promote the global recognition of Maithili literature. Ultimately, the findings underscore the transformative potential of leveraging technology to preserve, study, and celebrate the richness of Maithili’s literary tradition while paving the way for future innovations in the field.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_21How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Anu Priya
AU  - Md. Irfan Alam
PY  - 2025
DA  - 2025/07/17
TI  - Computational Approaches to Revitalize Maithili Literature - Bridging Tradition and Technology
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 245
EP  - 255
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_21
DO  - 10.2991/978-94-6463-787-8_21
ID  - Priya2025
ER  -