New Vistas to study Bhartrhari: Cognitive NLP
Jayashree Gajjam, Diptesh Kanojia, Malhar Kulkarni

TL;DR
This paper introduces a novel approach to studying Bhartrhari's linguistic theories using Cognitive NLP, analyzing gaze-behavior data to understand human comprehension of Sanskrit sentences.
Contribution
It applies Cognitive NLP techniques to Bhartrhari's work, conducting experiments with gaze-tracking to explore sentence comprehension in Sanskrit.
Findings
Gaze-behavior data reveals insights into Sanskrit sentence comprehension.
Statistical analysis confirms significance of observed gaze patterns.
Method demonstrates potential for linguistic and philosophical studies using NLP.
Abstract
The Sanskrit grammatical tradition which has commenced with Panini's Astadhyayi mostly as a Padasastra has culminated as a Vakyasastra, at the hands of Bhartrhari. The grammarian-philosopher Bhartrhari and his authoritative work 'Vakyapadiya' have been a matter of study for modern scholars, at least for more than 50 years, since Ashok Aklujkar submitted his Ph.D. dissertation at Harvard University. The notions of a sentence and a word as a meaningful linguistic unit in the language have been a subject matter for the discussion in many works that followed later on. While some scholars have applied philological techniques to critically establish the text of the works of Bhartrhari, some others have devoted themselves to exploring philosophical insights from them. Some others have studied his works from the point of view of modern linguistics, and psychology. Few others have tried to…
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Taxonomy
TopicsNatural Language Processing Techniques · Syntax, Semantics, Linguistic Variation · Language, Metaphor, and Cognition
