Literature DB >> 19943746

Population size and rates of language change.

Søren Wichmann1, Eric W Holman.   

Abstract

Previous empirical studies of population size and language change have produced equivocal results. We therefore address the question with a new set of lexical data from nearly one-half of the world's languages. We first show that relative population sizes of modern languages can be extrapolated to ancestral languages, albeit with diminishing accuracy, up to several thousand years into the past. We then test for an effect of population against the null hypothesis that the ultrametric inequality is satisfied by lexical distances among triples of related languages. The test shows mainly negligible effects of population, the exception being an apparently faster rate of change in the larger of two closely related variants. A possible explanation for the exception may be the influence on emerging standard (or cross-regional) variants from speakers who shift from different dialects to the standard. Our results strongly indicate that the sizes of speaker populations do not in and of themselves determine rates of language change. Comparison of this empirical finding with previously published computer simulations suggests that the most plausible model for language change is one in which changes propagate on a local level in a type of network in which the individuals have different degrees of connectivity.

Mesh:

Year:  2009        PMID: 19943746     DOI: 10.3378/027.081.0308

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  8 in total

Review 1.  Social scale and structural complexity in human languages.

Authors:  Daniel Nettle
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-05       Impact factor: 6.237

2.  Rate of language evolution is affected by population size.

Authors:  Lindell Bromham; Xia Hua; Thomas G Fitzpatrick; Simon J Greenhill
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-02       Impact factor: 11.205

3.  Larger communities create more systematic languages.

Authors:  Limor Raviv; Antje Meyer; Shiri Lev-Ari
Journal:  Proc Biol Sci       Date:  2019-07-17       Impact factor: 5.349

4.  Adaptive Communication: Languages with More Non-Native Speakers Tend to Have Fewer Word Forms.

Authors:  Christian Bentz; Annemarie Verkerk; Douwe Kiela; Felix Hill; Paula Buttery
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

5.  Environmental conditions do not predict diversification rates in the Bantu languages.

Authors:  Robert Beyer; Joy S Singarayer; Jay T Stock; Andrea Manica
Journal:  Heliyon       Date:  2019-10-19

6.  Phonotactic diversity predicts the time depth of the world's language families.

Authors:  Taraka Rama
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

7.  Population Size Predicts Lexical Diversity, but so Does the Mean Sea Level --Why It Is Important to Correctly Account for the Structure of Temporal Data.

Authors:  Alexander Koplenig; Carolin Müller-Spitzer
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

8.  Population Size and the Rate of Language Evolution: A Test Across Indo-European, Austronesian, and Bantu Languages.

Authors:  Simon J Greenhill; Xia Hua; Caela F Welsh; Hilde Schneemann; Lindell Bromham
Journal:  Front Psychol       Date:  2018-04-27
  8 in total

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