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DOI: 10.14569/IJACSA.2021.0120117
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Stanza Type Identification using Systematization of Versification System of Hindi Poetry

Author 1: Milind Kumar Audichya
Author 2: Jatinderkumar R. Saini

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 1, 2021.

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

Keywords: Chhand; computational linguistics; Hindi; metadata; poetry; prosody; stanza; verse

Milind Kumar Audichya and Jatinderkumar R. Saini, “Stanza Type Identification using Systematization of Versification System of Hindi Poetry” International Journal of Advanced Computer Science and Applications(IJACSA), 12(1), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120117

@article{Audichya2021,
title = {Stanza Type Identification using Systematization of Versification System of Hindi Poetry},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120117},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120117},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {1},
author = {Milind Kumar Audichya and Jatinderkumar R. Saini}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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