ArticleCognition2023
Caregiver linguistic alignment to autistic and typically developing children: A natural language processing approach illuminates the interactive components of language development.
Article in Cognition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- A systematic review and Bayesian meta-analysis of the development of turn taking in adult-child vocal interactions.Child development · 2022Pooled it
- The impact of individual factors on linguistic alignment of autistic boys and their mothers.Autism : the international journal of research and practice · 2026Article
- The Mechanistic Framework of Alignment: A Unified Model.Cognitive science · 2025Review
- Temporal Predictions in Music and Language: The Case of Autism Spectrum Disorder.Annals of the New York Academy of Sciences · 2025Review
- Social Context Matters for Turn-Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children.Cognitive science · 2025Article
- The Development of Turn-Taking Skills in Typical Development and Autism.Cognitive science · 2025Article
- Lexical Alignment is Pervasive Across Contexts in Non-WEIRD Adult-Child Interactions.Cognitive science · 2024Article
- Dynamic structures of parent-child number talk: An application of categorical cross-recurrence quantification analysis and companion to Duong et al. (under review).The quantitative methods for psychology · 2024Article
- Video-audio neural network ensemble for comprehensive screening of autism spectrum disorder in young children.PloS one · 2024Article
- Language competency in autism: a scientometric review.Frontiers in psychiatry · 2024Review
- How adults understand what young children say.Nature human behaviour · 2023Article
- Repeat After Me? Both Children With and Without Autism Commonly Align Their Language With That of Their Caregivers.Cognitive science · 2023Article
- Parental tuning of language input to autistic and nonspectrum children.Frontiers in psychology · 2022Article
- Conversation dynamics in a multiplayer video game with knowledge asymmetry.Frontiers in psychology · 2022Article
- Caregiver Language Input in Different Engagement States During Play Interactions With Toddlers With Autism: An Observational Study.Autism & developmental language impairmentsArticle
- The State of Natural Language Sampling in Autism Research: A Scoping Review.Autism & developmental language impairmentsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundLanguage development is a highly interactive activity. However, most research on linguistic environment has focused on the quantity and complexity of linguistic input to children, with current models showing that complexity facilitates language in both typically developing (TD) and autistic children.
aimsAfter reviewing existing work on caregiver engagement of children's utterances, we aim to operationalize such engagement with automated measures of linguistic alignment, thereby providing scalable tools to assess caregivers' active reuse of their children's language. By assessing the presence of alignment, its sensitivity to the child's individual differences and how well it predicts language development beyond current models across the two groups, we showcase the usefulness of the approach and provide initial empirical foundations for further conceptual and empirical investigations.
methodsWe measure lexical, syntactic and semantic types of caregiver alignment in a longitudinal corpus involving 32 adult-autistic child and 35 adult-TD child dyads, with children between 2 and 5 years of age. We assess the extent to which caregivers repeat their children's words, syntax, and semantics, and whether these repetitions predict language development beyond more standard predictors.
resultsCaregivers tend to re-use their child's language in a way that is related to the child's individual, primarily linguistic, differences. Caregivers' alignment provides unique information improving our ability to predict future language development in both typical and autistic children.
conclusionsWe provide evidence that language development also relies on interactive conversational processes, previously understudied. We share carefully detailed methods, and open-source scripts so as to systematically extend our approach to new contexts and languages.
Indexed as
Identifiers
What OpenQuestion holds
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.