Text mixing shapes the anatomy of rank-frequency distributions

Natural languages are full of rules and exceptions. One of the most famous quantitative rules is Zipf's law, which states that the frequency of occurrence of a word is approximately inversely proportional to its rank. Though this "law" of ranks has been found to hold across disparate...

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Veröffentlicht in:	Physical review. E, Statistical, nonlinear, and soft matter physics Statistical, nonlinear, and soft matter physics, 2015-05, Vol.91 (5), p.052811-052811, Article 052811
Hauptverfasser:	Williams, Jake Ryland, Bagrow, James P, Danforth, Christopher M, Dodds, Peter Sheridan
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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