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Cited by 490

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Random texts exhibit Zipf's-law-like word frequency distribution

Li, W.·1992·IEEE Transactions on Information Theory

Abstract

It is shown that the distribution of word frequencies for randomly generated texts is very similar to Zipf's law observed in natural languages such as English. The facts that the frequency of occurrence of a word is almost an inverse power law function of its rank and the exponent of this inverse power law is very close to 1 are largely due to the transformation from the word's length to its rank, which stretches an exponential function to a power law function.>

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Metadata

Authors
Li, W.
Venue
IEEE Transactions on Information Theory
Published
1992
Volume
38
Issue
6
Pages
1842-1845
ISSN
0018-9448 (ISSN-L)
OpenAlex
W2170521549
Cited by
490
References
7
FWCI
2.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Random texts exhibit Zipf's-law-like word frequency distribution. https://app.cochat.ai/papers/10.1109/18.165464
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Li, W. (1992). Random texts exhibit Zipf's-law-like word frequency distribution. IEEE Transactions on Information Theory. https://doi.org/10.1109/18.165464

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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