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Zipf-Mandelbrot law
The Zipf-Mandelbrot law (also known as the Pareto-Zipf law) is a power-law distribution on ranked data , named after the Harvard linguistics professor George Kingsley Zipf (1902-1950) who suggested regularity in texts, and the mathematician Benoit Mandelbrot (born November 20, 1924), who generalized it.
The distribution of words ranked by their frequency in a random corpus of text is generally a power-law distribution, known as Zipf's law.
If one plots the frequency rank of words contained in a large corpus of text data versus the number of occurrences or actual frequencies, one obtains a power-law distribution, with exponent close to one (but see Gelbukh and Sidoro 2001).
External links
- Z. K. Silagadze: Citations and the Zipf-Mandelbrot's law
- NIST: Zipf's law
- W. Li's References on Zipf's law
Last updated: 08-26-2005 13:14:42
10-26-2009 08:16:03
The contents of this article is licensed from www.wikipedia.org under the GNU Free Documentation License. Click here to see the transparent copy and copyright details
The contents of this article is licensed from www.wikipedia.org under the GNU Free Documentation License. Click here to see the transparent copy and copyright details