Literature DB >> 29088703

Detecting evolutionary forces in language change.

Mitchell G Newberry1, Christopher A Ahern2, Robin Clark2, Joshua B Plotkin1.   

Abstract

Both language and genes evolve by transmission over generations with opportunity for differential replication of forms. The understanding that gene frequencies change at random by genetic drift, even in the absence of natural selection, was a seminal advance in evolutionary biology. Stochastic drift must also occur in language as a result of randomness in how linguistic forms are copied between speakers. Here we quantify the strength of selection relative to stochastic drift in language evolution. We use time series derived from large corpora of annotated texts dating from the 12th to 21st centuries to analyse three well-known grammatical changes in English: the regularization of past-tense verbs, the introduction of the periphrastic 'do', and variation in verbal negation. We reject stochastic drift in favour of selection in some cases but not in others. In particular, we infer selection towards the irregular forms of some past-tense verbs, which is likely driven by changing frequencies of rhyming patterns over time. We show that stochastic drift is stronger for rare words, which may explain why rare forms are more prone to replacement than common ones. This work provides a method for testing selective theories of language change against a null model and reveals an underappreciated role for stochasticity in language evolution.

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Year:  2017        PMID: 29088703     DOI: 10.1038/nature24455

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  15 in total

1.  Language-tree divergence times support the Anatolian theory of Indo-European origin.

Authors:  Russell D Gray; Quentin D Atkinson
Journal:  Nature       Date:  2003-11-27       Impact factor: 49.962

2.  Drift as a mechanism for cultural change: an example from baby names.

Authors:  Matthew W Hahn; R Alexander Bentley
Journal:  Proc Biol Sci       Date:  2003-08-07       Impact factor: 5.349

3.  Evolution in Mendelian Populations.

Authors:  S Wright
Journal:  Genetics       Date:  1931-03       Impact factor: 4.562

4.  Rules of language.

Authors:  S Pinker
Journal:  Science       Date:  1991-08-02       Impact factor: 47.728

5.  Words as alleles: connecting language evolution with Bayesian learners to models of genetic drift.

Authors:  Florencia Reali; Thomas L Griffiths
Journal:  Proc Biol Sci       Date:  2009-10-07       Impact factor: 5.349

6.  Frequency of word-use predicts rates of lexical evolution throughout Indo-European history.

Authors:  Mark Pagel; Quentin D Atkinson; Andrew Meade
Journal:  Nature       Date:  2007-10-11       Impact factor: 49.962

7.  Quantifying the evolutionary dynamics of language.

Authors:  Erez Lieberman; Jean-Baptiste Michel; Joe Jackson; Tina Tang; Martin A Nowak
Journal:  Nature       Date:  2007-10-11       Impact factor: 49.962

8.  A non-equilibrium neutral model for analysing cultural change.

Authors:  Anne Kandler; Stephen Shennan
Journal:  J Theor Biol       Date:  2013-03-26       Impact factor: 2.691

Review 9.  Human language as a culturally transmitted replicator.

Authors:  Mark Pagel
Journal:  Nat Rev Genet       Date:  2009-06       Impact factor: 53.242

10.  The evolution of frequency distributions: relating regularization to inductive biases through iterated learning.

Authors:  Florencia Reali; Thomas L Griffiths
Journal:  Cognition       Date:  2009-03-26
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  12 in total

1.  Dominant words rise to the top by positive frequency-dependent selection.

Authors:  Mark Pagel; Mark Beaumont; Andrew Meade; Annemarie Verkerk; Andreea Calude
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-21       Impact factor: 11.205

2.  The dynamics of norm change in the cultural evolution of language.

Authors:  Roberta Amato; Lucas Lacasa; Albert Díaz-Guilera; Andrea Baronchelli
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-02       Impact factor: 11.205

3.  How humans transmit language: horizontal transmission matches word frequencies among peers on Twitter.

Authors:  John Bryden; Shaun P Wright; Vincent A A Jansen
Journal:  J R Soc Interface       Date:  2018-02       Impact factor: 4.118

4.  Measuring frequency-dependent selection in culture.

Authors:  Mitchell G Newberry; Joshua B Plotkin
Journal:  Nat Hum Behav       Date:  2022-05-30

5.  Conceptual Similarity and Communicative Need Shape Colexification: An Experimental Study.

Authors:  Andres Karjus; Richard A Blythe; Simon Kirby; Tianyu Wang; Kenny Smith
Journal:  Cogn Sci       Date:  2021-09

Review 6.  Neutral syndrome.

Authors:  Armand M Leroi; Ben Lambert; James Rosindell; Xiangyu Zhang; Giorgos D Kokkoris
Journal:  Nat Hum Behav       Date:  2020-05-11

Review 7.  Cultural selection and biased transformation: two dynamics of cultural evolution.

Authors:  Alex Mesoudi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-05-17       Impact factor: 6.671

8.  Cross-Linguistic Data Formats, advancing data sharing and re-use in comparative linguistics.

Authors:  Robert Forkel; Johann-Mattis List; Simon J Greenhill; Christoph Rzymski; Sebastian Bank; Michael Cysouw; Harald Hammarström; Martin Haspelmath; Gereon A Kaiping; Russell D Gray
Journal:  Sci Data       Date:  2018-10-16       Impact factor: 6.444

9.  English verb regularization in books and tweets.

Authors:  Tyler J Gray; Andrew J Reagan; Peter Sheridan Dodds; Christopher M Danforth
Journal:  PLoS One       Date:  2018-12-28       Impact factor: 3.240

10.  The natural selection of words: Finding the features of fitness.

Authors:  Peter D Turney; Saif M Mohammad
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

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