ArticleFrontiers in psychology2021
A Pseudo-Value Approach to Analyze the Semantic Similarity of the Speech of Children With and Without Autism Spectrum Disorder.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A multi-method phenotypic study of sex differences in pragmatic language in autism.Frontiers in psychiatry · 2026Article
- Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes.Autism : the international journal of research and practice · 2025Article
- "Um" and "Uh" Usage Patterns in Children with Autism: Associations with Measures of Structural and Pragmatic Language Ability.Journal of autism and developmental disorders · 2023Article
- Evaluating the Performance of Transformer-based Language Models for Neuroatypical Language.Proceedings of COLING. International Conference on Computational Linguistics · 2022Article
- Combining voice and language features improves automated autism detection.Autism research : official journal of the International Society for Autism Research · 2022Article
- The State of Natural Language Sampling in Autism Research: A Scoping Review.Autism & developmental language impairmentsReview
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Authors and funding
9 authors.
Funding
Abstract
Conversational impairments are well known among people with autism spectrum disorder (ASD), but their measurement requires time-consuming manual annotation of language samples. Natural language processing (NLP) has shown promise in identifying semantic difficulties when compared to clinician-annotated reference transcripts. Our goal was to develop a novel measure of lexico-semantic similarity - based on recent work in natural language processing (NLP) and recent applications of pseudo-value analysis - which could be applied to transcripts of children's conversational language, without recourse to some ground-truth reference document. We hypothesized that: (a) semantic coherence, as measured by this method, would discriminate between children with and without ASD and (b) more variability would be found in the group with ASD. We used data from 70 4- to 8-year-old males with ASD (
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