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Original Articles

Zipf's Law for Indian Languages

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Pages 293-317 | Published online: 10 Oct 2008

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Read on this site (4)

Parth Mehta & Prasenjit Majumder. (2016) Large Scale Quantitative Analysis of three Indo-Aryan Languages. Journal of Quantitative Linguistics 23:1, pages 109-132.
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Hemlata Pande & H.S. Dhami. (2013) Mathematical Modelling of the Pattern of Occurrence of Words in Different Corpora of the Hindi Language∗ . Journal of Quantitative Linguistics 20:1, pages 1-12.
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Qinghua Chen, Jinzhong Guo & Yufan Liu. (2012) A Statistical Study on Chinese Word and Character Usage in Literatures from the Tang Dynasty to the Present. Journal of Quantitative Linguistics 19:3, pages 232-248.
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Articles from other publishers (4)

Nikhil Kumar Rajput, Bhavya Ahuja & Manoj Kumar Riyal. (2019) A statistical probe into the word frequency and length distributions prevalent in the translations of Bhagavad Gita. Pramana 92:4.
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Vineeta Chand, Devin Kapper, Sumona Mondal, Shantanu Sur & Rana Parshad. (2017) Indian English Evolution and Focusing Visible Through Power Laws. Languages 2:4, pages 26.
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Álvaro Corral, Gemma Boleda & Ramon Ferrer-i-Cancho. (2015) Zipf’s Law for Word Frequencies: Word Forms versus Lemmas in Long Texts. PLOS ONE 10:7, pages e0129031.
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Weibing Deng, Armen E. Allahverdyan, Bo Li & Qiuping A. Wang. (2014) Rank-frequency relation for Chinese characters. The European Physical Journal B 87:2.
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