Stanza Type Identification using Systematization of Versification System of Hindi Poetry

Poetry covers a vast part of the literature any language. Similarly, Hindi poetry is also having massive portion in literature. In construction, it necessary to take care various verse writing rules. This paper focuses on automatic metadata generation from such poems by computational linguistics integrated advance and systematic, prosody rule-based modeling detection procedures specially designed for poetry. The challenges best possible solutions those challenges, describing methodology generate “Chhand” based poems’ stanzas. It provides some advanced information techniques “Muktak Chhands”. Rules “Chhands” incorporated this research were identified, verified, modeled as per perspective very first time, which required lot effort time. work, 111 different rules found. presents all “Chhands”. Out work 53 at least 20 277 examples found used processing data generation. For generator processed 3120 UTF-8 inputs types, achieved 95.02% overall accuracy, failure rate was 4.98%. minimum time taken 1.12 seconds, maximum 91.79 seconds.