Artificial Intelligence and Sanskrit: The Role of Computational Linguistics

Abstract

The junction of Artificial Intelligence (AI) and Sanskrit is a fascinating synthesis of old language traditions and contemporary computer technology. Sanskrit, one of the oldest and most grammatically complicated languages, provides unique problems and opportunities in computational linguistics. This study investigates the use of artificial intelligence and computational linguistics (CL) in the analysis, preservation, and processing of Sanskrit texts. It emphasizes the difficulties of creating Natural Language Processing (NLP) tools for Sanskrit, which has a highly inflectional character, extensive morphology, and sophisticated syntax. Sanskrit's grammar, steeped in the Paninian tradition, poses both a problem and an opportunity for computational systems. While traditional rule-based systems fail to deal with the language's inflections and grammatical changes, recent breakthroughs in machine learning (ML) and deep learning (DL) models have created new opportunities for reliable parsing, translation, and interpretation of Sanskrit literature. Furthermore, AI-driven technologies like as Optical Character Recognition (OCR) have made important contributions to the digitization of Sanskrit manuscripts, allowing for their preservation and accessibility. The report also explores current applications, such as Sanskrit-to-modern language translation, speech recognition, and artificial intelligence-assisted text analysis. Despite these advances, issues such as uncertainty in meaning, a scarcity of vast digital resources, and the preservation of semantic subtleties persist. The report suggests collaboration between Sanskrit academics and AI researchers to improve the performance of AI models and provide strong computational tools for Sanskrit language processing.

DOI: 10.46700/asssr/2025/v7/i2/148