A Perspective on the Use of Sanskrit Language and Literature in Developing AI and GenAI Systems

A Perspective on the Use of Sanskrit Language and Literature in Developing AI and GenAI Systems | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Perspective on the Use of Sanskrit Language and Literature in Developing AI and GenAI Systems Sushant K. Singh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7632448/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Artificial intelligence (AI) and Generative AI (GenAI) have transformed various industries by enabling machines to understand, interpret, and generate human languages with remarkable precision, a process commonly referred to as natural language processing (NLP). While dominant languages, such as English and Mandarin, have traditionally played a significant role in AI and GenAI model training, there is growing interest in exploring the potential of Sanskrit for AI and GenAI system development. Utilizing its highly structured grammar and rich semantic framework, this article examines how Sanskrit provides unique advantages to AI and GenAI systems. Sanskrit’s deterministic and precise grammatical rules, as codified in Maharishi Panini’s Ashtadhyayi, present an opportunity to reduce ambiguity and enhance the computational efficiency of the NLP models. The language’s inflected morphology allows for more compact and flexible expressions, which may improve the AI’s ability to handle complex word relationships. Sanskrit’s cultural and philosophical significance allows AI to engage in ancient wisdom and interdisciplinary research. However, challenges such as the limited availability of modern Sanskrit corpora, the lack of native speakers, and the computational complexity of their grammatical rules must be addressed to realize their full potential. Despite these challenges, incorporating Sanskrit into AI and GenAI systems can lead to innovations in linguistic research, philosophical AI, and computational logic. AI GenAI Sanskrit English Language NLP Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7632448","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":520471774,"identity":"217da040-d44d-4853-8554-5805ac5489f6","order_by":0,"name":"Sushant K. 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