Towards Natural Language Processing with Figures of Speech in Hindi Poetry

Poems have always been an excellent way of expressing emotions in any language. In particular, Hindi poetry is having versatile popularity among native and non-native speakers all over the world. A typical poem in Hindi is characterized by meter (“Chhand”), emotion (“Rasa”), and figure of speech (“Alankaar”). The present research work is the first of its kind in Hindi Natural Language Processing (NLP), which touches on the area of Hindi figure of speech. The authors have created a systematic hierarchical structure of Hindi “Alankaar” types and sub-types and attempted and extended the work to identify a few. A taxonomical list of 58 Hindi figures of speech is presented along with their nearest mapping to English equivalents. On the sidelines, the paper also presents the distinct rules for each type and sub-type needed for the classification task of NLP. The authors achieved 97% efficiency in reporting the first results with an average execution time of 0.002 seconds.

@article{Audichya2021,
  title     = {Towards Natural Language Processing with Figures of Speech in Hindi Poetry},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {3},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Milind Kumar Audichya and Jatinderkumar R. Saini},
  doi       = {10.14569/IJACSA.2021.0120316},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120316}
}