ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY UTILIZATION FOR VEDIC TEXT ANALYSIS: NLP APPROACH IN THE STUDY OF  ṚG VEDA MANDALA 1 SUKTA 1

Eka Sura Adnyana; Gde Wikan Pradnya Dana; I Made Ade Prayoga

doi:10.25078/vidyottama.v9i2.5380

Authors

Eka Sura Adnyana Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar
Gde Wikan Pradnya Dana Warmadewa University
I Made Ade Prayoga Bali Institute of Technology and Health

DOI:

https://doi.org/10.25078/vidyottama.v9i2.5380

Keywords:

Keywords: Artificial Intelligence, Natural Language Processing, Ṛgveda

Abstract

This research discusses the utilization of Artificial Intelligence (AI) technology with a Natural Language Processing (NLP) approach in the study of Hindu literature, especially in the text of Ṛgveda Mandala 1 Sukta 1. The analysis was conducted through the stages of tokenization, lemmatization, and topic modeling to identify keywords, frequency of occurrence, and main themes in the text. The results found four central themes: (1) ritual (yajña), (2) theological (Agni's role as an intermediary between humans and gods), (3) spiritual and material goals (ratna), and (4) cosmic order (ṛta). AI findings were then compared with traditional philological interpretations that emphasize philosophical meaning, symbolism, and historical context. The comparison results show that AI excels in speed, scale, and consistency of analysis, while traditional philology is stronger in providing depth of interpretation and understanding spiritual values. This study concludes that the integration of AI with the philological approach can result in a more comprehensive, rapid, and faithful study of the Vedas.

References

Bird, S., Klein, E., & Loper, E. (2009). Natural Language Processing with Python. O Reilly Media.

Bryant, E. F. (2007). Krishna: A Sourcebook. Oxford University Press.

Gupta, P., Kumar, A., & Singh, R. (2023). Linguistically-Informed Neural Architectures for Lexical, Syntactic, and Semantic Tasks in Sanskrit. Journal of Computational Linguistics, 49(1), 55–78.

Jamison, S. W., & Brereton, J. P. (2014). The Rigveda: The Earliest Religious Poetry of India. Oxford University Press.

Jurafsky, D., & Martin, J. H. (2020). Speech and Language Processing (3rd ed.). Draft.

Lowe, J. J. (2015). Participles in Rigvedic Sanskrit: The Syntax and Semantics of Adjectival Verb Forms. Oxford University Press.

Macdonell, A. A. (1917). A History of Sanskrit Literature. William Heinemann.

Manning, C. D., & Schütze, H. (1999). Foundations of Statistical Natural Language Processing. MIT Press.

Radhakrishnan, S. (1953). The Principal Upanishads. George Allen & Unwin.

Renou, L. (1953). Religions of Ancient India. Athlone Press.

Scarlata, S., & Widmer, G. (2025). Metrics, Semantics, and Syntax in Vedic Hymns: A Computational Linguistic Approach. Journal of Indic Studies, 17(2), 45–68.

Sharma, A. (2017). Classical Hindu Thought: An Introduction. Oxford University Press.

Smith, J. (2021). AI-assisted textual analysis in digital humanities: Unlocking ancient manuscripts. Journal of Digital Scholarship in the Humanities, 36 (2), 245–260.

Staal, F. (1983). Agni: The Vedic Ritual of the Fire Altar. Asian Humanities Press.