Background & Aims: Narratives are regularly elicited as part of standardized assessments for autism spectrum conditions (ASC) such as the ADOS, but have rarely been utilized as linguistic data in their own right. We here aimed for a specific and comprehensive quantitative linguistic profile of such narratives across nominal, verbal, and…

Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…

Twenty-eight Albanian-Greek bilingual children with Developmental Language Disorder and 28 children with Autism Spectrum Disorder but no language impairment, along with 28 typically-developing, age-, Performance IQ- and socioeconomic status-matched bilingual children were asked to produce two expository texts which were coded for spelling…

Background and aims: Children with autism spectrum disorders (ASD) have been found to exhibit difficulties in "wh"-question production. It is unclear whether these difficulties are pragmatic or syntactic in nature. The current study used a question elicitation task to assess the production of subject and object "wh"-questions…

Background and aims: Although autism spectrum disorder (ASD) has not traditionally been associated with morphosyntactic impairments, some children with ASD manifest significant difficulties in this domain. Sentence Repetition (SRep) tasks are highly reliable tools for detecting morphosyntactic impairment in different languages and across various…