Literature DB >> 28077259

The growth of language: Universal Grammar, experience, and principles of computation.

Charles Yang1, Stephen Crain2, Robert C Berwick3, Noam Chomsky4, Johan J Bolhuis5.   

Abstract

Human infants develop language remarkably rapidly and without overt instruction. We argue that the distinctive ontogenesis of child language arises from the interplay of three factors: domain-specific principles of language (Universal Grammar), external experience, and properties of non-linguistic domains of cognition including general learning mechanisms and principles of efficient computation. We review developmental evidence that children make use of hierarchically composed structures ('Merge') from the earliest stages and at all levels of linguistic organization. At the same time, longitudinal trajectories of development show sensitivity to the quantity of specific patterns in the input, which suggests the use of probabilistic processes as well as inductive learning mechanisms that are suitable for the psychological constraints on language acquisition. By considering the place of language in human biology and evolution, we propose an approach that integrates principles from Universal Grammar and constraints from other domains of cognition. We outline some initial results of this approach as well as challenges for future research.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computational linguistics; Evolution of language; Generative grammar; Inductive inference; Language acquisition; Speech perception

Mesh:

Year:  2017        PMID: 28077259     DOI: 10.1016/j.neubiorev.2016.12.023

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  7 in total

1.  Child-Directed Speech Is Infrequent in a Forager-Farmer Population: A Time Allocation Study.

Authors:  Alejandrina Cristia; Emmanuel Dupoux; Michael Gurven; Jonathan Stieglitz
Journal:  Child Dev       Date:  2017-11-02

2.  Probabilistic Decision-Making in Children With Dyslexia.

Authors:  Christa L Watson Pereira; Ran Zhou; Mark A Pitt; Jay I Myung; P Justin Rossi; Eduardo Caverzasi; Esther Rah; Isabel E Allen; Maria Luisa Mandelli; Marita Meyer; Zachary A Miller; Maria Luisa Gorno Tempini
Journal:  Front Neurosci       Date:  2022-06-13       Impact factor: 5.152

3.  Chimpanzees produce diverse vocal sequences with ordered and recombinatorial properties.

Authors:  Cédric Girard-Buttoz; Emiliano Zaccarella; Tatiana Bortolato; Angela D Friederici; Roman M Wittig; Catherine Crockford
Journal:  Commun Biol       Date:  2022-05-16

4.  A model for learning strings is not a model of language.

Authors:  Elliot Murphy; Evelina Leivada
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-01       Impact factor: 12.779

Review 5.  Decrypting noncoding RNA interactions, structures, and functional networks.

Authors:  Muller Fabbri; Leonard Girnita; Gabriele Varani; George A Calin
Journal:  Genome Res       Date:  2019-08-21       Impact factor: 9.043

6.  Constructing a Consensus on Language Evolution? Convergences and Differences Between Biolinguistic and Usage-Based Approaches.

Authors:  Michael Pleyer; Stefan Hartmann
Journal:  Front Psychol       Date:  2019-11-14

7.  Computer code comprehension shares neural resources with formal logical inference in the fronto-parietal network.

Authors:  Yun-Fei Liu; Judy Kim; Colin Wilson; Marina Bedny
Journal:  Elife       Date:  2020-12-15       Impact factor: 8.140

  7 in total

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