Literature DB >> 26991438

Language at Three Timescales: The Role of Real-Time Processes in Language Development and Evolution.

Bob McMurray1.   

Abstract

Evolutionary developmental systems (evo-devo) theory stresses that selection pressures operate on entire developmental systems rather than just genes. This study extends this approach to language evolution, arguing that selection pressure may operate on two quasi-independent timescales. First, children clearly must acquire language successfully (as acknowledged in traditional evo-devo accounts) and evolution must equip them with the tools to do so. Second, while this is developing, they must also communicate with others in the moment using partially developed knowledge. These pressures may require different solutions, and their combination may underlie the evolution of complex mechanisms for language development and processing. I present two case studies to illustrate how the demands of both real-time communication and language acquisition may be subtly different (and interact). The first case study examines infant-directed speech (IDS). A recent view is that IDS underwent cultural to statistical learning mechanisms that infants use to acquire the speech categories of their language. However, recent data suggest is it may not have evolved to enhance development, but rather to serve a more real-time communicative function. The second case study examines the argument for seemingly specialized mechanisms for learning word meanings (e.g., fast-mapping). Both behavioral and computational work suggest that learning may be much slower and served by general-purpose mechanisms like associative learning. Fast-mapping, then, may be a real-time process meant to serve immediate communication, not learning, by augmenting incomplete vocabulary knowledge with constraints from the current context. Together, these studies suggest that evolutionary accounts consider selection pressure arising from both real-time communicative demands and from the need for accurate language development.
Copyright © 2016 Cognitive Science Society, Inc.

Entities:  

Keywords:  Computational modeling; Fast-mapping; Infant-directed speech; Language acquisition; Language evolution; Speech perception; Timescales; Word learning

Mesh:

Year:  2016        PMID: 26991438      PMCID: PMC4802391          DOI: 10.1111/tops.12201

Source DB:  PubMed          Journal:  Top Cogn Sci        ISSN: 1756-8757


  43 in total

1.  Epigenetic sources of behavioral differences in mice.

Authors:  Darlene D Francis; Kathleen Szegda; Gregory Campbell; W David Martin; Thomas R Insel
Journal:  Nat Neurosci       Date:  2003-05       Impact factor: 24.884

2.  Recognizing intentions in infant-directed speech: evidence for universals.

Authors:  Gregory A Bryant; H Clark Barrett
Journal:  Psychol Sci       Date:  2007-08

3.  Recursive syntactic pattern learning by songbirds.

Authors:  Timothy Q Gentner; Kimberly M Fenn; Daniel Margoliash; Howard C Nusbaum
Journal:  Nature       Date:  2006-04-27       Impact factor: 49.962

4.  Word learning in a domestic dog: evidence for "fast mapping".

Authors:  Juliane Kaminski; Josep Call; Julia Fischer
Journal:  Science       Date:  2004-06-11       Impact factor: 47.728

5.  A vocabulary test for chimpanzees (Pan troglodytes).

Authors:  R A Gardner; B T Gardner
Journal:  J Comp Psychol       Date:  1984-12       Impact factor: 2.231

6.  The hyperarticulation hypothesis of infant-directed speech.

Authors:  Alejandrina Cristia; Amanda Seidl
Journal:  J Child Lang       Date:  2013-02-13

7.  Innateness and culture in the evolution of language.

Authors:  Simon Kirby; Mike Dowman; Thomas L Griffiths
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-12       Impact factor: 11.205

8.  Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species.

Authors:  Caroline A A van Heijningen; Jos de Visser; Willem Zuidema; Carel ten Cate
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-16       Impact factor: 11.205

9.  Learning phonemic vowel length from naturalistic recordings of Japanese infant-directed speech.

Authors:  Ricardo A H Bion; Kouki Miyazawa; Hideaki Kikuchi; Reiko Mazuka
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

10.  Vocabulary learning in a Yorkshire terrier: slow mapping of spoken words.

Authors:  Ulrike Griebel; D Kimbrough Oller
Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

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  3 in total

1.  Nature, Nurture or Interacting Developmental Systems? Endophenotypes for learning systems bridge genes, language and development.

Authors:  Bob McMurray
Journal:  Lang Cogn Neurosci       Date:  2016-10-11       Impact factor: 2.331

2.  THE DEVELOPMENT OF COMMUNICATION ACROSS TIMESCALES.

Authors:  Elise A Piazza; Mira L Nencheva; Casey Lew-Williams
Journal:  Curr Dir Psychol Sci       Date:  2021-10-13

3.  The moment-to-moment pitch dynamics of child-directed speech shape toddlers' attention and learning.

Authors:  Mira L Nencheva; Elise A Piazza; Casey Lew-Williams
Journal:  Dev Sci       Date:  2020-06-16
  3 in total

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