ArticleJournal of speech, language, and hearing research : JSLHR2018
An Application of Network Science to Phonological Sequence Learning in Children With Developmental Language Disorder.
Article in Journal of speech, language, and hearing research : JSLHR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
27 citing papers in PubMed, 32 citations in OpenAlex.
- Influence of Semantic Richness on Word Form Learning in Children With Developmental Language Disorder.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Examining the Relationship Between Early Feeding Difficulties and Language Development: A Longitudinal Study.Developmental psychobiology · 2026Article
- Article
- Using network science to examine audio-visual speech perception with a multi-layer graph.PloS one · 2024Article
- Children With Developmental Language Disorder Show Deficits in the Production of Musical Rhythmic Groupings.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Articulatory and segmental performance in children with and without speech disorder: A multiple case pilot study.Clinical linguistics & phonetics · 2023Article
- Acoustic and Kinematic Methods of Indexing Spatiotemporal Stability in Children With Developmental Language Disorder.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Does the public know what researchers know? Perceived task difficulty impacts adults' intuitions about children's early word learning.Cognitive research: principles and implications · 2023Article
- Phonological and Articulatory Deficits in the Production of Novel Signs in Children With Developmental Language Disorder.Journal of speech, language, and hearing research : JSLHR · 2023Article
- The Resilience of the Phonological Network May Have Implications for Developmental and Acquired Disorders.Brain sciences · 2023Article
- Identifying the phonological backbone in the mental lexicon.PloS one · 2023Article
- Contributions of early motor deficits in predicting language outcomes among preschoolers with developmental language disorder.International journal of speech-language pathology · 2022Article
- A longitudinal study of the phonological organisation of novel word forms in children with developmental language disorder.International journal of speech-language pathology · 2022Article
- Phonological characteristics of novel gesture production in children with developmental language disorder: Longitudinal findings.Applied psycholinguistics · 2022Article
- Influences of Methodological Decisions on Assessing the Spatiotemporal Stability of Speech Movement Sequences.Journal of speech, language, and hearing research : JSLHR · 2022Article
- What Can Network Science Tell Us About Phonology and Language Processing?Topics in cognitive science · 2022Article
- Optimising word learning in post-secondary students with Developmental Language Disorder: The roles of retrieval difficulty and retrieval success during training.International journal of speech-language pathology · 2021Article
- Not All Procedural Learning Tasks Are Difficult for Adults With Developmental Language Disorder.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Vowel Accuracy and Segmental Variability Differentiate Children With Developmental Language Disorder in Nonword Repetition.Journal of speech, language, and hearing research : JSLHR · 2020Article
- Lexical-Semantic Cues Induce Sound Pattern Stability in Children With Developmental Language Disorder.Journal of speech, language, and hearing research : JSLHR · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.