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Children, adolescents, and language change

Kerswill, Paul·1996·Language Variation and Change

Abstract

The article models the spread of linguistic change by taking precise account of the ages of the acquirers and transmitters of change. Several studies, some original, are reviewed in order to address the following questions: “What types of linguistic feature can an individual acquire at different ages?” “How much influence do people of different ages exert on the speech of other individuals?” The article is organized around three key interlocutor combinations: parent-infant/young child, peer group-preadolescent, and older adolescent/adult-adolescent. The studies suggest that borrowings are the easiest to acquire, while lexically unpredictable phonological changes are the most difficult. In between are Neogrammarian changes and morphologically conditioned features. The age of the speaker is critical; only the youngest children acquire the “hardest” features. However, adolescents may be the most influential transmitters of change. A difficulty hierarchy for the acquisition of second dialect features is then presented; it is suggested that this predicts the nature of linguistic change found under different sociolinguistic conditions. The approach presented here allows for a more detailed understanding of the spread of linguistic change.

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Metadata

Authors
Kerswill, P.
Venue
Language Variation and Change
Published
1996-07
Volume
8
Issue
2
Pages
177-202
ISSN
  • 0954-3945 (ISSN-L)
  • 1469-8021
OpenAlex
W2125675088
Cited by
506
References
0
FWCI
25.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Children, adolescents, and language change. https://app.cochat.ai/papers/10.1017/s0954394500001137
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Kerswill, P. (1996). Children, adolescents, and language change. Language Variation and Change. https://doi.org/10.1017/s0954394500001137

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.