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:
this https URL

通过提出一个可解释性框架的路线图，本文探索了梵文诗歌与计算语言学的交集，以分析和分类精美梵文诗歌的特质和特点。通过从六个重要的 kavyashastra 学派的角度对梵文诗歌 Siksastaka 进行深入分析，提供了诗歌分析和注释的网页应用，为未来研究做出了贡献。