Typical language development.

Bilingualism Grammar Infants Language acquisition Language development Multilingualism Newborns Phoneme perception Segmentation Speech perception Toddlers Word learning

Journal

Handbook of clinical neurology
ISSN: 0072-9752
Titre abrégé: Handb Clin Neurol
Pays: Netherlands
ID NLM: 0166161

Informations de publication

Date de publication:
2020
Historique:
entrez: 22 9 2020
pubmed: 23 9 2020
medline: 9 7 2021
Statut: ppublish

Résumé

Acquiring language is a major developmental feat that all typical, healthy children achieve during the first years of their lives. The ease and speed with which they acquire their native language(s) has puzzled parents, scholars, and the general public alike. The last five decades have brought about a spectacular increase in our knowledge of how young infants acquire their mother tongues. Sophisticated behavioral, corpus-based, and brain imaging techniques have been developed to query young learners' journey into language. This chapter summarizes what we currently know of typical language development during the first years of life. It starts out by reviewing the existing theoretical accounts of language development. It then presents the most important empirical findings about speech perception and language acquisition grouped by different subdomains, such as newborns' speech perception abilities, phoneme perception, word learning, and the early acquisition of grammar, focusing mainly on the first 3 years of life, an age by which the major milestones of language development are typically accomplished. Differences between monolingual and multilingual development are also discussed.

Identifiants

pubmed: 32958172
pii: B978-0-444-64150-2.00016-2
doi: 10.1016/B978-0-444-64150-2.00016-2
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

171-183

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Judit Gervain (J)

Integrative Neuroscience and Cognition Center, CNRS & Université de Paris, Paris, France. Electronic address: judit.gervain@parisdescartes.fr.

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Classifications MeSH