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The Biological Origin of Linguistic Diversity

Overview of attention for article published in PLOS ONE, October 2012
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Title
The Biological Origin of Linguistic Diversity
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0048029
Pubmed ID
Authors

Andrea Baronchelli, Nick Chater, Romualdo Pastor-Satorras, Morten H. Christiansen

Abstract

In contrast with animal communication systems, diversity is characteristic of almost every aspect of human language. Languages variously employ tones, clicks, or manual signs to signal differences in meaning; some languages lack the noun-verb distinction (e.g., Straits Salish), whereas others have a proliferation of fine-grained syntactic categories (e.g., Tzeltal); and some languages do without morphology (e.g., Mandarin), while others pack a whole sentence into a single word (e.g., Cayuga). A challenge for evolutionary biology is to reconcile the diversity of languages with the high degree of biological uniformity of their speakers. Here, we model processes of language change and geographical dispersion and find a consistent pressure for flexible learning, irrespective of the language being spoken. This pressure arises because flexible learners can best cope with the observed high rates of linguistic change associated with divergent cultural evolution following human migration. Thus, rather than genetic adaptations for specific aspects of language, such as recursion, the coevolution of genes and fast-changing linguistic structure provides the biological basis for linguistic diversity. Only biological adaptations for flexible learning combined with cultural evolution can explain how each child has the potential to learn any human language.

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Geographical breakdown

Country Count As %
United States 3 2%
Brazil 3 2%
Portugal 2 2%
Germany 2 2%
Canada 2 2%
Vietnam 1 <1%
France 1 <1%
Netherlands 1 <1%
Turkey 1 <1%
Other 7 5%
Unknown 105 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Researcher 22 17%
Student > Master 15 12%
Student > Bachelor 11 9%
Student > Doctoral Student 10 8%
Other 33 26%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 26%
Linguistics 15 12%
Psychology 14 11%
Physics and Astronomy 13 10%
Social Sciences 8 6%
Other 29 23%
Unknown 16 13%