Literature DB >> 21585444

Zipf's Law and Avoidance of Excessive Synonymy.

Dmitrii Y Manin.   

Abstract

Zipf's law states that if words of language are ranked in the order of decreasing frequency in texts, the frequency of a word is inversely proportional to its rank. It is very reliably observed in the data, but to date it escaped satisfactory theoretical explanation. This article suggests that Zipf's law may result from a hierarchical organization of word meanings over the semantic space, which in turn is generated by the evolution of word semantics dominated by expansion of meanings and competition of synonyms. A study of the frequency of partial synonyms in Russian provides experimental evidence for the hypothesis that word frequency is determined by semantics. 2008 Cognitive Science Society, Inc.

Year:  2008        PMID: 21585444     DOI: 10.1080/03640210802020003

Source DB:  PubMed          Journal:  Cogn Sci        ISSN: 0364-0213


  6 in total

1.  Random texts do not exhibit the real Zipf's law-like rank distribution.

Authors:  Ramon Ferrer-I-Cancho; Brita Elvevåg
Journal:  PLoS One       Date:  2010-03-09       Impact factor: 3.240

Review 2.  Zipf's word frequency law in natural language: a critical review and future directions.

Authors:  Steven T Piantadosi
Journal:  Psychon Bull Rev       Date:  2014-10

3.  The language of gene ontology: a Zipf's law analysis.

Authors:  Leila Ranandeh Kalankesh; Robert Stevens; Andy Brass
Journal:  BMC Bioinformatics       Date:  2012-06-07       Impact factor: 3.169

4.  The languages of health in general practice electronic patient records: a Zipf's law analysis.

Authors:  Leila R Kalankesh; John P New; Patricia G Baker; Andy Brass
Journal:  J Biomed Semantics       Date:  2014-01-10

5.  Unzipping Zipf's law.

Authors:  Sander Lestrade
Journal:  PLoS One       Date:  2017-08-09       Impact factor: 3.240

6.  Maximum entropy, word-frequency, Chinese characters, and multiple meanings.

Authors:  Xiaoyong Yan; Petter Minnhagen
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

  6 in total

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