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Sanskrit poetry has played a significant role in shaping the literary andcultural landscape of the Indian subcontinent for centuries. However, not muchattention has been devoted to uncovering the hidden beauty of Sanskrit poetryin computational linguistics. This article explores the intersection ofSanskrit poetry and computational linguistics by proposing a roadmap of aninterpretable framework to analyze and classify the qualities andcharacteristics of fine Sanskrit poetry. We discuss the rich tradition ofSanskrit poetry and the significance of computational linguistics inautomatically identifying the characteristics of fine poetry. The proposedframework involves a human-in-the-loop approach that combines deterministicaspects delegated to machines and deep semantics left to human experts. Weprovide a deep analysis of Siksastaka, a Sanskrit poem, from the perspective of6 prominent kavyashastra schools, to illustrate the proposed framework.Additionally, we provide compound, dependency, anvaya (prose order linearisedform), meter, rasa (mood), alankar (figure of speech), and riti (writing style)annotations for Siksastaka and a web application to illustrate the poem'sanalysis and annotations. Our key contributions include the proposed framework,the analysis of Siksastaka, the annotations and the web application for futureresearch. Link for interactive analysis:https://sanskritshala.github.io/shikshastakam/

Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka