Zipf's law, hyperbolic distributions and entropy loss

被引：7

作者：

Harremoës, P ^{[1
]}

Topsoe, F ^{[1
]}

机构：

[1] Univ Copenhagen, Dept Math, DK-2100 Copenhagen, Denmark

来源：

ISIT: 2002 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/ISIT.2002.1023479

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Zipf's law is an empirical observation which relates rank and frequency of words in natural languages. The law suggests modelling by distributions of "hyperbolic type". We present a general definition and an information theoretical characterization of such distributions. This leads to a property of stability and flexibility, explaining that a language can develop towards higher and higher expressive powers without changing its basic structure.

引用

页码：207 / 207

页数：1