An Application of Network Science to Phonological Sequence Learning in Children with Developmental Language Disorder
Purpose: Network science has been a valuable tool in language research for investigating relationships between complex linguistic elements but has not yet been applied to sound sequencing in production. In the present work, we used standard error-based accuracy and articulatory kinematic approaches...
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Published in | Journal of speech, language, and hearing research Vol. 61; no. 9; pp. 2275 - 2291 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
American Speech-Language-Hearing Association
01.09.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose: Network science has been a valuable tool in language research for investigating relationships between complex linguistic elements but has not yet been applied to sound sequencing in production. In the present work, we used standard error-based accuracy and articulatory kinematic approaches as well as novel measures from network science to evaluate variability and sequencing errors in speech production in children with developmental language disorder (DLD; aka "specific language impairment"). Method: Twelve preschoolers with DLD and 12 age-matched controls participated in a 3-day novel word learning study. Transcription and articulatory movement data were collected to measure accuracy and variability of productions, and networks of speech productions were generated to analyze syllable co-occurrence patterns. Results: Results indicated that children with DLD were less accurate than children with typical language at the segmental level. Crucially, these findings did not align with performance at the articulatory level, where there were no differences in movement variability between children with DLD and those with typical language. Network analyses revealed characteristics that were not captured by standard measures of phonetic accuracy, including a larger inventory of syllable forms, more connections between the forms, and less consistent production patterns. Conclusions: Network science provides significant insights into phonological learning trajectories in children with DLD and their typically developing peers. Importantly, errors in word production by children with DLD do not surface as a result of weakness in articulatory control. Instead, results suggest that speech errors in DLD may relate to deficits in sound sequencing. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Editor-in-Chief: Sean Redmond Editor: Lizbeth Finestack Disclosure: The authors have declared that no competing interests existed at the time of publication. |
ISSN: | 1092-4388 1558-9102 |
DOI: | 10.1044/2018_JSLHR-L-18-0036 |