Markov processes: Linguistics and Zipf's law.

By I. Kanter, David A. Kessler. 1995

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On the origin of long-range correlations in texts (2012, background): “) (1, 16, 20, 24, 25), to the use of the frequencyrank (26) or parts of speech (19) on the level of words.”
Zipf’s word frequency law in natural language: A critical review and future directions (2014, background): “…advocates might point out that tweaking the details of random-typing models (e.g., changing letter frequencies, introducing N th order Markov dependence) might allow them to fit the details of human language (for Zipf ’ s law in Markov processes with random transitions, see Kanter & Kessler, 1995).”