Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

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A Survey on Automated Metrical Analysis of Sanskrit Prosodic Meters and NLP

Authors
J. Seetharaman1, *, U. Vageeswari2
1Asst Professor, Department of Computer Science and Applications, SCSVMV (DU), Enathur, Kanchipuram, Tamilnadu, India
2Asst Professor, Department of Computer Science and Applications, SCSVMV (DU), Enathur, Kanchipuram, Tamilnadu, India
*Corresponding author. Email: jseetharaman@kanchiuniv.ac.in
Corresponding Author
J. Seetharaman
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_83How to use a DOI?
Keywords
Sanskrit Chandas; Prosody; Sandhi Splitting; Sanskrit NLP; Computational Linguistics; Indic Languages
Abstract

Sanskrit prosody (Chandas) represents one of the most rigorous metrical systems in world literature, combining phonology, morphology, and semantics into strictly governed poetic forms. Automated metrical analysis of Sanskrit text requires precise sandhi resolution, syllable and mora identification, and grammatical validation. This paper presents a structured survey of Vedic and Classical Sanskrit meters, a staged evaluation of existing Sanskrit NLP tools, and practical implementations using transformer-based, rule-based, and grammar-driven sandhi segmentation systems. In addition, outputs from the Sanskrit Heritage Segmenter (INRIA) are analyzed to demonstrate large-scale grammatical ambiguity inherent in Sanskrit parsing. The study concludes that hybrid pipelines integrating neural ranking with Paninian grammar engines are essential for accurate and scalable computational chandas analysis.

Copyright
© 2026 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 International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_83How to use a DOI?
Copyright
© 2026 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

risenwbib
TY  - CONF
AU  - J. Seetharaman
AU  - U. Vageeswari
PY  - 2026
DA  - 2026/06/16
TI  - A Survey on Automated Metrical Analysis of Sanskrit Prosodic Meters and NLP
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 847
EP  - 856
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_83
DO  - 10.2991/978-94-6239-693-7_83
ID  - Seetharaman2026
ER  -