A Cultural Evolutionary Model for the Law of Abbreviation

Efficiency principles are increasingly called upon to study features of human language and communication. Zipf's law of abbreviation is widely seen as a classic instance of a linguistic pattern brought about by language users' search for efficient communication. The "law"-a recurrent correlation between the frequency of words and their brevity-is a near-universal principle of communication, having been found in all of the hundreds of human languages where it has been tested, and a few nonhuman communication systems as well. The standard explanation for the law of abbreviation derives from pressures for efficiency: speakers minimize their cumulative effort by using shorter words for frequent occurrences. This explanation, we argue here, fails to explain why long words exist at all. It also fails to explain why the law of abbreviation, despite being robust, is systematically weakened by many short and rare words. We propose an alternative account of the law of abbreviation, based on a simple cultural evolutionary model. Our model does not require any pressure for efficiency. Instead, it derives the law of abbreviation from a general pressure for brevity applying to all words regardless of their frequency. This model makes two accurate predictions that the standard model misses: the correlation between frequency and brevity is consistently weak, and it is characterized by heteroskedasticity, with many short and rare words. We argue on this basis that efficiency considerations are neither necessary nor sufficient to explain the law.

Authors

Institutions

Publication Details

Journal
Topics in Cognitive Science
Published
2024-12-24
DOI
https://doi.org/10.1111/tops.12782
Citations
4
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
17.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cultural Evolutionary Model for the Law of Abbreviation

Alexey Koshevoy, Olivier Morin
4 citations
Topics in Cognitive Science
Language and cultural evolution
17.16
article

A Cultural Evolutionary Model for the Law of Abbreviation

Alexey Koshevoy, Olivier Morin
article en
4 citations

Abstract

Efficiency principles are increasingly called upon to study features of human language and communication. Zipf's law of abbreviation is widely seen as a classic instance of a linguistic pattern brought about by language users' search for efficient communication. The "law"-a recurrent correlation between the frequency of words and their brevity-is a near-universal principle of communication, having been found in all of the hundreds of human languages where it has been tested, and a few nonhuman communication systems as well. The standard explanation for the law of abbreviation derives from pressures for efficiency: speakers minimize their cumulative effort by using shorter words for frequent occurrences. This explanation, we argue here, fails to explain why long words exist at all. It also fails to explain why the law of abbreviation, despite being robust, is systematically weakened by many short and rare words. We propose an alternative account of the law of abbreviation, based on a simple cultural evolutionary model. Our model does not require any pressure for efficiency. Instead, it derives the law of abbreviation from a general pressure for brevity applying to all words regardless of their frequency. This model makes two accurate predictions that the standard model misses: the correlation between frequency and brevity is consistently weak, and it is characterized by heteroskedasticity, with many short and rare words. We argue on this basis that efficiency considerations are neither necessary nor sufficient to explain the law.

Topics in Cognitive ScienceVol. 18(1)
Aix-Marseille Université (FR), Laboratoire de Psychologie Cognitive (FR), Institut Jean Nicod (FR), École des hautes études en sciences sociales (FR)
Agence Nationale de la Recherche
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Language and cultural evolution
17.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.