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Direct linkJessica 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
Leydi Johana Chaparro-Moreno; Hugo Gonzalez Villasanti; Laura M. Justice; Jing Sun; Mary Beth Schmitt – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examines the accuracy of Interaction Detection in Early Childhood Settings (IDEAS), a program that automatically transcribes audio files and estimates linguistic units relevant to speech-language therapy, including part-of-speech units that represent features of language complexity, such as adjectives and coordinating…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Children
