Literature DB >> 25089073

How children explore the phonological network in child-directed speech: A survival analysis of children's first word productions.

Matthew T Carlson1, Morgan Sonderegger2, Max Bane3.   

Abstract

We explored how phonological network structure influences the age of words' first appearance in children's (14-50 months) speech, using a large, longitudinal corpus of spontaneous child-caregiver interactions. We represent the caregiver lexicon as a network in which each word is connected to all of its phonological neighbors, and consider both words' local neighborhood density (degree), and also their embeddedness among interconnected neighborhoods (clustering coefficient and coreness). The larger-scale structure reflected in the latter two measures is implicated in current theories of lexical development and processing, but its role in lexical development has not yet been explored. Multilevel discrete-time survival analysis revealed that children are more likely to produce new words whose network properties support lexical access for production: high degree, but low clustering coefficient and coreness. These effects appear to be strongest at earlier ages and largely absent from 30 months on. These results suggest that both a word's local connectivity in the lexicon and its position in the lexicon as a whole influences when it is learned, and they underscore how general lexical processing mechanisms contribute to productive vocabulary development.

Entities:  

Keywords:  Phonological development; clustering coefficient; coreness; neighborhood density; network science; phonological networks; survival analysis; vocabulary growth

Year:  2014        PMID: 25089073      PMCID: PMC4115338          DOI: 10.1016/j.jml.2014.05.005

Source DB:  PubMed          Journal:  J Mem Lang        ISSN: 0749-596X            Impact factor:   3.059


  70 in total

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4.  Network structure influences speech production.

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5.  How the clustering of phonological neighbors affects visual word recognition.

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Journal:  J Exp Psychol Learn Mem Cogn       Date:  2013-04-08       Impact factor: 3.051

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Journal:  J Child Lang       Date:  2013-05-07

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Authors:  Meredith L Rowe; Stephen W Raudenbush; Susan Goldin-Meadow
Journal:  Child Dev       Date:  2012-01-11

Review 10.  Relationships between lexical and phonological development in young children.

Authors:  Carol Stoel-Gammon
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  13 in total

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Review 7.  Local Patterns to Global Architectures: Influences of Network Topology on Human Learning.

Authors:  Elisabeth A Karuza; Sharon L Thompson-Schill; Danielle S Bassett
Journal:  Trends Cogn Sci       Date:  2016-06-29       Impact factor: 20.229

8.  An Application of Network Science to Phonological Sequence Learning in Children With Developmental Language Disorder.

Authors:  Sara Benham; Lisa Goffman; Richard Schweickert
Journal:  J Speech Lang Hear Res       Date:  2018-09-19       Impact factor: 2.297

9.  What Can Network Science Tell Us About Phonology and Language Processing?

Authors:  Michael S Vitevitch
Journal:  Top Cogn Sci       Date:  2021-04-09

10.  Multiplex model of mental lexicon reveals explosive learning in humans.

Authors:  Massimo Stella; Nicole M Beckage; Markus Brede; Manlio De Domenico
Journal:  Sci Rep       Date:  2018-02-02       Impact factor: 4.379

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