Literature DB >> 20543024

Differentiating the effects of phonotactic probability and neighborhood density on vocabulary comprehension and production: a comparison of preschool children with versus without phonological delays.

Holly L Storkel1, Junko Maekawa, Jill R Hoover.   

Abstract

PURPOSE: To differentiate the effect of phonotactic probability from that of neighborhood density on a vocabulary probe administered to preschool children with or without phonological delays.
METHOD: Twenty preschool children with functional phonological delays and 34 preschool children with typical language development completed a 121-item vocabulary probe in both an expressive and receptive response format. Words on the vocabulary probe orthogonally varied on phonotactic probability and neighborhood density but were matched on age of acquisition, word frequency, word length, semantic set size, concreteness, familiarity, and imagability.
RESULTS: Results show a Phonotactic Probability x Neighborhood Density interaction with variation across groups. Specifically, the optimal conditions for typically developing children were rare phonotactic probability with sparse neighborhoods and common phonotactic probability with dense neighborhoods. In contrast, only rare phonotactic probability with sparse neighborhoods was optimal for children with phonological delays.
CONCLUSIONS: Rare sound sequences and sparse neighborhoods may facilitate triggering of word learning for typically developing children and children with phonological delays. In contrast, common sound sequences and dense neighborhoods may facilitate configuration and engagement for typically developing children but not for children with phonological delays because of their weaker phonological and/or lexical representations.

Entities:  

Mesh:

Year:  2010        PMID: 20543024      PMCID: PMC2917507          DOI: 10.1044/1092-4388(2009/09-0075)

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  39 in total

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Authors:  M S Vitevitch; P A Luce; D B Pisoni; E T Auer
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3.  The time course of spoken word learning and recognition: studies with artificial lexicons.

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4.  Sublexical and lexical representations in speech production: effects of phonotactic probability and onset density.

Authors:  Michael S Vitevitch; Jonna Armbruster; Shinying Chu
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2004-03       Impact factor: 3.051

5.  Differentiating phonotactic probability and neighborhood density in adult word learning.

Authors:  Holly L Storkel; Jonna Armbrüster; Tiffany P Hogan
Journal:  J Speech Lang Hear Res       Date:  2006-12       Impact factor: 2.297

6.  A comparison of homonym and novel word learning: the role of phonotactic probability and word frequency.

Authors:  Holly L Storkel; Junko Maekawa
Journal:  J Child Lang       Date:  2005-11

7.  Individual differences in the influence of phonological characteristics on expressive vocabulary development by young children.

Authors:  Junko Maekawa; Holly L Storkel
Journal:  J Child Lang       Date:  2006-08

8.  The TRACE model of speech perception.

Authors:  J L McClelland; J L Elman
Journal:  Cogn Psychol       Date:  1986-01       Impact factor: 3.468

9.  Final consonant discrimination in children: effects of phonological disorder, vocabulary size, and articulatory accuracy.

Authors:  Jan Edwards; Robert A Fox; Catherine L Rogers
Journal:  J Speech Lang Hear Res       Date:  2002-04       Impact factor: 2.297

10.  Lexical representations in children with SLI: evidence from a frequency-manipulated gating task.

Authors:  Elina Mainela-Arnold; Julia L Evans; Jeffry A Coady
Journal:  J Speech Lang Hear Res       Date:  2008-04       Impact factor: 2.297

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  19 in total

1.  The effect of time on word learning: an examination of decay of the memory trace and vocal rehearsal in children with and without specific language impairment.

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Journal:  J Commun Disord       Date:  2011-08-05       Impact factor: 2.288

2.  The slow developmental time course of real-time spoken word recognition.

Authors:  Hannah Rigler; Ashley Farris-Trimble; Lea Greiner; Jessica Walker; J Bruce Tomblin; Bob McMurray
Journal:  Dev Psychol       Date:  2015-10-19

3.  The Relation Between Vocabulary Knowledge and Phonological Awareness in Children With Cochlear Implants.

Authors:  Emily Lund
Journal:  J Speech Lang Hear Res       Date:  2020-07-08       Impact factor: 2.297

4.  Applying Item Response Theory to the Development of a Screening Adaptation of the Goldman-Fristoe Test of Articulation-Second Edition.

Authors:  Tim Brackenbury; Michael J Zickar; Benjamin Munson; Holly L Storkel
Journal:  J Speech Lang Hear Res       Date:  2017-09-18       Impact factor: 2.297

5.  Lexical and phonological effects in early word production.

Authors:  Anna V Sosa; Carol Stoel-Gammon
Journal:  J Speech Lang Hear Res       Date:  2011-12-29       Impact factor: 2.297

6.  Nexus to Lexis: Phonological Disorders in Children.

Authors:  Judith A Gierut
Journal:  Semin Speech Lang       Date:  2016-10-04       Impact factor: 1.761

7.  The Influence of Misarticulations on Children's Word Identification and Processing.

Authors:  Breanna I Krueger; Holly L Storkel; Utako Minai
Journal:  J Speech Lang Hear Res       Date:  2018-04-17       Impact factor: 2.297

8.  Grammar in Boys With Idiopathic Autism Spectrum Disorder and Boys With Fragile X Syndrome Plus Autism Spectrum Disorder.

Authors:  Audra Sterling
Journal:  J Speech Lang Hear Res       Date:  2018-04-17       Impact factor: 2.297

9.  Investigating a Multimodal Intervention for Children With Limited Expressive Vocabularies Associated With Autism.

Authors:  Nancy C Brady; Holly L Storkel; Paige Bushnell; R Michael Barker; Kate Saunders; Debby Daniels; Kandace Fleming
Journal:  Am J Speech Lang Pathol       Date:  2015-08       Impact factor: 2.408

10.  Orthography and Modality Influence Speech Production in Adults and Children.

Authors:  Meredith Saletta; Lisa Goffman; Tiffany P Hogan
Journal:  J Speech Lang Hear Res       Date:  2016-12-01       Impact factor: 2.297

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