An Application of Zipf's Law for Prose and Verse Corpora Neutrality for Hindi and Marathi Languages

@article{Bafna2020AnAO,
  title={An Application of Zipf's Law for Prose and Verse Corpora Neutrality for Hindi and Marathi Languages},
  author={Prafulla Bharat Bafna and Jatinderkumar R.},
  journal={International Journal of Advanced Computer Science and Applications},
  year={2020},
  volume={11}
}
  • P. Bafna, Jatinderkumar R.
  • Published 2020
  • Computer Science
  • International Journal of Advanced Computer Science and Applications
Availability of the text in different languages has become possible, as almost all websites have offered multilingual option. Hindi is considered as official language in one of the states of India. Hindi text analysis is dominated by the corpus of stories and poems. Before performing any text analysis token extraction is an important step and supports many applications like text summarization , categorizing text and so on. Token extraction is a part of Natural language processing (NLP). NLP… 

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