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Analysing the Poetic Structure of Jana-Gaṇa-Mana in Entirety: A Statistical Approach

Date: October 18,2021 |Hits: 414 Download PDF How to cite this paper

Niraj Kumar Singh1, Soubhik Chakraborty2,*, Mihul Roy3

1Department of Computer Science and Engineering, Birla Institute of Technology, Mesra-835215, Jharkhand, India.

2Department of Mathematics, Birla Institute of Technology, Mesra-835215, Jharkhand, India.

3IT Services, MECON Limited, Ranchi-834002, Jharkhand, India.

*Corresponding author: Soubhik Chakraborty


Measurable investigation of abstract content so as to bring bits of knowledge into its expressive highlights has been a shared zone of enthusiasm among the aficionados of writing and measurements. The thought of applying the equivalent for mining critical perceptions with respect to our huge abstract legacy has likewise intrigued the antiquarians. There have been several works on automated analysis of poetry. Notwithstanding, adequate consideration has not been laid on such works in even Hindi-prose, leaving Hindi-poetry with an almost total nonattendance of any examination in such manner. The curiosity of the work proposed in this paper is emphasized by the way that it includes the utilization of binomial model to literary compositions which means to take a new way towards statistical interpretation of literary pieces. Any poetic composition in Hindi may be viewed as a sequence of numeral symbols 1 and 2 only which correspond to a laghu (short syllable) and a guru (long syllable) respectively. Determining short and long syllables in Hindi-poetry is not a trivial activity as this determination is not independent rather is a function of a number of factors. The candidate poem is statistically analysed using three case studies. In the first study, the laghu and guru data is successfully fitted to a binomial model. Short syllables themselves can be classified into two types. The second case study is an attempt towards fitting a binomial model to the type_1 and type_2 laghu data. In Hindi, a vowel can be written either independently or as a mātrā (diacritic mark) along with a consonant letter. As our final case study, we have successfully fitted a binomial model over diacritic marks data in Jana-Gaṇa-Mana. Importance of this task lies in the observations leading to fit the various phonological features of the candidate song through a single model type, that is, binomial model.


[1] National Portal of India. (2020). National anthem. https://www.india.gov.in/india-glance/national-symbols.

[2] Chakraborty, S., Sarkar, S., Tewari, S., and Pal, M. (2012). Modeling India’s national anthem: a statistical approach. International Research Journal of Social Sciences, 1(2), 17-24.

[3] Das, S. K. (2002). The English Writings of Rabindranath Tagore, Vol III, A Miscellany. Sahitya Akademi.

[4] Gokak, V. K. (1961). Tagore’s influence on modern poetry, Indian Literature. Sahitya Akademi.

[5] Hassan, S., Mohammed, N., and Momen, S. (2016). Learning from tagore. In: International Workshop on Computational Intelligence, Dhaka, Bangladesh, 12-13 December 2016, pp. 79-84. IEEE.

[6] Rakshit, G., Ghosh, A., Bhattacharyya, P., and Haffari, G. (2015). Automated analysis of Bangla poetry for classification and poet identification. In: 12th International Conference on Natural Language Processing (eds D. S. Sharma et al.), Trivandrum, India, December 2015, pp. 247-253. India: NLP Association of India.

[7] Deshmukh, R., et al. (2019). Marathi poem classification using machine learning. International Journal of Recent Technology and Engineering, 8(2), 2723-2727.

[8] Kaur, J. and Saini, J. R. (2020). Designing Punjabi poetry classifiers using machine learning and different textual features. International Arab Journal of Information Technology, 17(1), 38-44.

[9] Nayak, S. K. and Panigrahi, A. K. (2018). Modern poetic trends of Odisha versus the neoteric strives of Guruprasad. International Journal of Trends in Scientific Research and Development, 11(2), 1140-1160.

[10] Joshi, B. K. and Kushwah, K. K. (2016). Sandhi: the rule-based word formation in Hindi. International Journal of Computer Science and Information Security, 14(12), 781-785.

[11] Magdum, D., Patil, T., and Suman, M. (2019). Schwa deletion in Hindi language speech synthesis. International Journal of Engineering and Advanced Technology, 8(6S), 211-214.

[12] Bafna, P. and Saini, J. R. (2020). On exhaustive evaluation of eager machine learning algorithms for classification of Hindi verses. International Journal of Advanced Computer Science and Applications, 11(2), 181-185.

[13] Pal, K. and Patel, B. V. (2020). Model for classification of poems in Hindi language based on ras. In: Somani, A., Shekhawat, R., Mundra, A., Srivastava, S., Verma, V. (eds.), Smart Systems and IoT: Innovations in Computing. Singapore: Springer, pp. 655-661.

[14] Pandian, A., Maurya, P., and Jaiswal, N. (2020). Author identification of Hindi poetry. International Journal of Scientific and Technology Research, 9(3), 3791-3795.

[15] Kushwah, K. K. and Joshi, B. K. (2017). Rola: an equi-matrikchhand of Hindi poems. International Journal of Computer Science and Information Security, 15(3), 362-364. 

[16] Kumar, V. (2018). Vrihat Vyakarana Bhaskar. Bharati Bhawan. 

[17] Pandey, S. (2015). Chhand Manjari (1st ed.). Anjuman Prakashan.

[18] Dvivedi, K. D. and Singh, S. L. (2013). The Prosody of Pingala. Varanasi: Vishwavidyalaya Prakashan.

[19] Gupta, S. C. and Kapoor, V. K. (2002). Fundamentals of Mathematical Statistics (11th ed.). Sultan Chand & Sons.

[20] Pal, N. and Sarkar, S. (2009). Statistics: Concepts and Applications (2nd ed.). PHI.

How to cite this paper

Analysing the Poetic Structure of Jana-Gaṇa-Mana in Entirety: A Statistical Approach

How to cite this paper: Niraj Kumar Singh, Soubhik Chakraborty, Mihul Roy. (2021) Analysing the Poetic Structure of Jana-Gaṇa-Mana in Entirety: A Statistical Approach. Journal of Applied Mathematics and Computation5(4), 264-272.

DOI: http://dx.doi.org/10.26855/jamc.2021.12.004

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