Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of the Indian subcontinent for centuries. However, not much attention has been devoted to uncovering the hidden beauty of Sanskrit poetry in computational linguistics. This article explores the intersection of Sanskrit poetry and computational linguistics by proposing a roadmap of an interpretable framework to analyze and classify the qualities and characteristics of fine Sanskrit poetry. We discuss the rich tradition of Sanskrit poetry and the significance of computational linguistics in automatically identifying the characteristics of fine poetry. The proposed framework involves a human-in-the-loop approach that combines deterministic aspects delegated to machines and deep semantics left to human experts. We provide a deep analysis of Siksastaka, a Sanskrit poem, from the perspective of 6 prominent kavyashastra schools, to illustrate the proposed framework. Additionally, we provide compound, dependency, anvaya (prose order linearised form), meter, rasa (mood), alankar (figure of speech), and riti (writing style) annotations for Siksastaka and a web application to illustrate the poem's analysis and annotations. Our key contributions include the proposed framework, the analysis of Siksastaka, the annotations and the web application for future research. Link for interactive analysis: https://sanskritshala.github.io/shikshastakam/

翻译：梵语诗歌数世纪以来在塑造印度次大陆的文学与文化景观中扮演着重要角色。然而，在计算语言学领域，揭示梵语诗歌隐含之美的研究尚未得到充分关注。本文通过提出一种可解释框架的路线图，探讨梵语诗歌与计算语言学的交叉领域，以分析与分类优质梵语诗歌的特质与特征。我们论述了梵语诗歌的丰富传统，以及计算语言学在自动识别优质诗歌特征方面的重要意义。该框架采用人机协同方法，将确定性任务交由机器处理，而深层语义分析则留给人类专家完成。我们以梵语诗篇《Siksastaka》为对象，从六大诗论学派视角进行深度分析，以阐释该框架。此外，我们为《Siksastaka》提供了复合词、依存关系、anvaya（线性化散文语序）、韵律、rasa（情感基调）、alankar（修辞手法）及riti（写作风格）注释，并开发了网络应用程序以可视化该诗篇的分析与注释结果。本文的核心贡献包括所提出的框架、对《Siksastaka》的分析、注释成果以及用于未来研究的网络应用程序。交互分析链接：https://sanskritshala.github.io/shikshastakam/