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Jessica M. Lammert; Angela C. Roberts; Ken McRae; Laura J. Batterink; Blake E. Butler – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…
Descriptors: Identification, Natural Language Processing, Artificial Intelligence, Barriers
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Akemoglu, Yusuf; Hinton, Vanessa; Laroue, Dayna; Jefferson, Vanessa – Journal of Early Intervention, 2022
We describe a study of the internet-based Parent-Implemented Communication Strategies--Storybook (i-PiCSS), an intervention designed to train and coach parents to use evidenced-based naturalistic communication teaching (NCT) strategies (i.e., modeling, mand-model, and time delay) and RTs while reading storybooks with their young children with…
Descriptors: Internet, Natural Language Processing, Parent Education, Communication Skills
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Zajenkowski, Marcin; Styla, Rafal; Szymanik, Jakub – Journal of Communication Disorders, 2011
We compared the processing of natural language quantifiers in a group of patients with schizophrenia and a healthy control group. In both groups, the difficulty of the quantifiers was consistent with computational predictions, and patients with schizophrenia took more time to solve the problems. However, they were significantly less accurate only…
Descriptors: Control Groups, Schizophrenia, Language Impairments, Patients