Literature DB >> 19857320

The myth of language universals: language diversity and its importance for cognitive science.

Nicholas Evans1, Stephen C Levinson.   

Abstract

Talk of linguistic universals has given cognitive scientists the impression that languages are all built to a common pattern. In fact, there are vanishingly few universals of language in the direct sense that all languages exhibit them. Instead, diversity can be found at almost every level of linguistic organization. This fundamentally changes the object of enquiry from a cognitive science perspective. This target article summarizes decades of cross-linguistic work by typologists and descriptive linguists, showing just how few and unprofound the universal characteristics of language are, once we honestly confront the diversity offered to us by the world's 6,000 to 8,000 languages. After surveying the various uses of "universal," we illustrate the ways languages vary radically in sound, meaning, and syntactic organization, and then we examine in more detail the core grammatical machinery of recursion, constituency, and grammatical relations. Although there are significant recurrent patterns in organization, these are better explained as stable engineering solutions satisfying multiple design constraints, reflecting both cultural-historical factors and the constraints of human cognition. Linguistic diversity then becomes the crucial datum for cognitive science: we are the only species with a communication system that is fundamentally variable at all levels. Recognizing the true extent of structural diversity in human language opens up exciting new research directions for cognitive scientists, offering thousands of different natural experiments given by different languages, with new opportunities for dialogue with biological paradigms concerned with change and diversity, and confronting us with the extraordinary plasticity of the highest human skills.

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Year:  2009        PMID: 19857320     DOI: 10.1017/S0140525X0999094X

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  114 in total

1.  Language-invariant verb processing regions in Spanish-English bilinguals.

Authors:  Joanna L Willms; Kevin A Shapiro; Marius V Peelen; Petra E Pajtas; Albert Costa; Lauren R Moo; Alfonso Caramazza
Journal:  Neuroimage       Date:  2011-04-16       Impact factor: 6.556

Review 2.  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

Review 3.  The co-evolution of language and emotions.

Authors:  Eva Jablonka; Simona Ginsburg; Daniel Dor
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-08-05       Impact factor: 6.237

Review 4.  A hierarchical model of the evolution of human brain specializations.

Authors:  H Clark Barrett
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-20       Impact factor: 11.205

5.  A Bayesian phylogenetic approach to estimating the stability of linguistic features and the genetic biasing of tone.

Authors:  Dan Dediu
Journal:  Proc Biol Sci       Date:  2010-09-01       Impact factor: 5.349

Review 6.  The redundancy of recursion and infinity for natural language.

Authors:  Erkki Luuk; Hendrik Luuk
Journal:  Cogn Process       Date:  2010-07-23

7.  Your place or mine? A phylogenetic comparative analysis of marital residence in Indo-European and Austronesian societies.

Authors:  Laura Fortunato; Fiona Jordan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-12-12       Impact factor: 6.237

8.  The Uniformity and Diversity of Language: Evidence from Sign Language.

Authors:  Wendy Sandler
Journal:  Lingua       Date:  2010-12-01

9.  On the universal structure of human lexical semantics.

Authors:  Hyejin Youn; Logan Sutton; Eric Smith; Cristopher Moore; Jon F Wilkins; Ian Maddieson; William Croft; Tanmoy Bhattacharya
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-01       Impact factor: 11.205

10.  Author’s response: A universal approach to modeling visual word recognition and reading: not only possible, but also inevitable.

Authors:  Ram Frost
Journal:  Behav Brain Sci       Date:  2012-10       Impact factor: 12.579

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