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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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Shriberg, Lawrence D.; Fourakis, Marios; Hall, Sheryl D.; Karlsson, Heather B.; Lohmeier, Heather L.; McSweeny, Jane L.; Potter, Nancy L.; Scheer-Cohen, Alison R.; Strand, Edythe A.; Tilkens, Christie M.; Wilson, David L. – Clinical Linguistics & Phonetics, 2010
This report describes three extensions to a classification system for paediatric speech sound disorders termed the Speech Disorders Classification System (SDCS). Part I describes a classification extension to the SDCS to differentiate motor speech disorders from speech delay and to differentiate among three sub-types of motor speech disorders.…
Descriptors: Autism, Classification, Acoustics, Phonetics
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Hargrove, Patricia; Lund, Bonnie; Griffer, Mona – Communication Disorders Quarterly, 2005
This article focuses on applying systematic reviews to the Early Intervention (EI) literature. Systematic reviews are defined and differentiated from traditional, or narrative, reviews and from meta-analyses. In addition, the steps involved in critiquing systematic reviews and an illustration of a systematic review from the EI literature are…
Descriptors: Child Language, Early Intervention, Guidelines, Meta Analysis
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Cambourne, Brian; Turbill, Jan – Elementary School Journal, 1990
Suggests that traditional measurement-based approaches to evaluation are theoretically inappropriate in whole-language classrooms. Argues that responsive evaluation can be applied at the classroom level and that the data generated will tell more about children's developing control of language than standardized tests do. (RJC)
Descriptors: Child Language, Evaluation Methods, Language Skills, Theory Practice Relationship