Evaluating atypical language in autism using automated language measures

Evaluating atypical language in autism using automated language measures

Abstract Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Better language outcome measures are needed. Using language transcripts, we generated Automated Language Measures (ALMs) and tested their validity. 169 participants (96 ASD, 28 TD, 45 ADHD) age...

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Autores principales: Alexandra C. Salem, Heather MacFarlane, Joel R. Adams, Grace O. Lawley, Jill K. Dolata, Steven Bedrick, Eric Fombonne
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
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Science
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Acceso en línea:https://doaj.org/article/1f267e951b0e4510933249a4537063a3
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https://doaj.org/article/1f267e951b0e4510933249a4537063a3

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