The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Frequency of word-use predicts rates of lexical evolution throughout Indo-European history
Open accessAbstract
Greek speakers say “ουρ”, Germans “schwanz” and the French “queue” to describe what English speakers call a ‘tail’, but all of these languages use a related form of ‘two’ to describe the number after one. Among more than 100 Indo-European languages and dialects, the words for some meanings (such as ‘tail’) evolve rapidly, being expressed across languages by dozens of unrelated words, while others evolve much more slowly—such as the number ‘two’, for which all Indo-European language speakers use the same related word-form. No general linguistic mechanism has been advanced to explain this striking variation in rates of lexical replacement among meanings. Here we use four large and divergent language corpora (English, Spanish, Russian and Greek) and a comparative database of 200 fundamental vocabulary meanings in 87 Indo-European languages to show that the frequency with which these words are used in modern language predicts their rate of replacement over thousands of years of Indo-European language evolution. Across all 200 meanings, frequently used words evolve at slower rates and infrequently used words evolve more rapidly. This relationship holds separately and identically across parts of speech for each of the four language corpora, and accounts for approximately 50% of the variation in historical rates of lexical replacement. We propose that the frequency with which specific words are used in everyday language exerts a general and law-like influence on their rates of evolution. Our findings are consistent with social models of word change that emphasize the role of selection, and suggest that owing to the ways that humans use language, some words will evolve slowly and others rapidly across all languages.
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Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
The Neutral Theory of Molecular Evolution
Kimura, M. (1979) · Scientific American · doi:10.1038/scientificamerican1179-98 · Cited by 7,666
Culture and the Evolutionary Process
Griesemer, J. R., Boyd, R., & Richerson, P. J. (1986) · The Condor · doi:10.2307/1367778 · Cited by 7,034
The Neutral Theory of Molecular Evolution
Kimura, M. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623486 · Cited by 6,347
Acquisition of cognitive skill
Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663
Language Contact, Creolization, and Genetic Linguistics
Thomason, S. G., & Kaufman, T. (1988) · University of California Press eBooks · doi:10.1525/9780520912793 · Cited by 3,221
Yang, Z. (1994) · Journal of Molecular Evolution · doi:10.1007/bf00160154 · Cited by 2,960
FREQUENCY ANALYSIS OF ENGLISH USAGE: LEXICON AND GRAMMAR
Francis, W. N., Kučera, H., & Mackie, A. W. (1983) · Medical Entomology and Zoology · Cited by 2,310
Ellis, N. C. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002024 · Cited by 2,230
(2000) · Cited by 1,889
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Zipf’s word frequency law in natural language: A critical review and future directions
Piantadosi, S. T. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0585-6 · Cited by 889
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Mapping the Origins and Expansion of the Indo-European Language Family
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Metadata
- Authors
- Pagel, M., Atkinson, Q. D., & Meade, A.
- Venue
- Nature
- Published
- 2007-10
- Volume
- 449
- Issue
- 7163
- Pages
- 717-720
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2068064057
- Cited by
- 571
- References
- 36
- FWCI
- 242.26
- Type
- journal article
- Language
- en
- Open access
- green
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