Literature DB >> 17928859

Quantifying the evolutionary dynamics of language.

Erez Lieberman1, Jean-Baptiste Michel, Joe Jackson, Tina Tang, Martin A Nowak.   

Abstract

Human language is based on grammatical rules. Cultural evolution allows these rules to change over time. Rules compete with each other: as new rules rise to prominence, old ones die away. To quantify the dynamics of language evolution, we studied the regularization of English verbs over the past 1,200 years. Although an elaborate system of productive conjugations existed in English's proto-Germanic ancestor, Modern English uses the dental suffix, '-ed', to signify past tense. Here we describe the emergence of this linguistic rule amidst the evolutionary decay of its exceptions, known to us as irregular verbs. We have generated a data set of verbs whose conjugations have been evolving for more than a millennium, tracking inflectional changes to 177 Old-English irregular verbs. Of these irregular verbs, 145 remained irregular in Middle English and 98 are still irregular today. We study how the rate of regularization depends on the frequency of word usage. The half-life of an irregular verb scales as the square root of its usage frequency: a verb that is 100 times less frequent regularizes 10 times as fast. Our study provides a quantitative analysis of the regularization process by which ancestral forms gradually yield to an emerging linguistic rule.

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Year:  2007        PMID: 17928859      PMCID: PMC2460562          DOI: 10.1038/nature06137

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


  6 in total

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Authors:  Marc D Hauser; Noam Chomsky; W Tecumseh Fitch
Journal:  Science       Date:  2002-11-22       Impact factor: 47.728

2.  Linguistics: modelling the dynamics of language death.

Authors:  Daniel M Abrams; Steven H Strogatz
Journal:  Nature       Date:  2003-08-21       Impact factor: 49.962

3.  Some effects of intermittent silence.

Authors:  G A MILLER
Journal:  Am J Psychol       Date:  1957-06

4.  Learning and morphological change.

Authors:  M Hare; J L Elman
Journal:  Cognition       Date:  1995-07

5.  German inflection: the exception that proves the rule.

Authors:  G F Marcus; U Brinkmann; H Clahsen; R Wiese; S Pinker
Journal:  Cogn Psychol       Date:  1995-12       Impact factor: 3.468

Review 6.  Computational and evolutionary aspects of language.

Authors:  Martin A Nowak; Natalia L Komarova; Partha Niyogi
Journal:  Nature       Date:  2002-06-06       Impact factor: 49.962

  6 in total
  48 in total

Review 1.  Social cognition and the evolution of language: constructing cognitive phylogenies.

Authors:  W Tecumseh Fitch; Ludwig Huber; Thomas Bugnyar
Journal:  Neuron       Date:  2010-03-25       Impact factor: 17.173

Review 2.  Diversity, competition, extinction: the ecophysics of language change.

Authors:  Ricard V Solé; Bernat Corominas-Murtra; Jordi Fortuny
Journal:  J R Soc Interface       Date:  2010-06-30       Impact factor: 4.118

3.  Lexical Semantics and Irregular Inflection.

Authors:  Yi Ting Huang; Steven Pinker
Journal:  Lang Cogn Process       Date:  2010-12-01

4.  Natural selection 150 years on.

Authors:  Mark Pagel
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

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Authors:  Fiona M Jordan; Russell D Gray; Simon J Greenhill; Ruth Mace
Journal:  Proc Biol Sci       Date:  2009-03-04       Impact factor: 5.349

6.  Principles of parametric estimation in modeling language competition.

Authors:  Menghan Zhang; Tao Gong
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-28       Impact factor: 11.205

7.  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

8.  Culturomics: Word play.

Authors:  Eric Hand
Journal:  Nature       Date:  2011-06-17       Impact factor: 49.962

9.  Extracting information from S-curves of language change.

Authors:  Fakhteh Ghanbarnejad; Martin Gerlach; José M Miotto; Eduardo G Altmann
Journal:  J R Soc Interface       Date:  2014-12-06       Impact factor: 4.118

10.  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

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