Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches.

Journal: Journal of speech, language, and hearing research : JSLHR
PMID: 39787490

Abstract

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 of language disorders in children.

Authors

  • Jessica M Lammert
    Graduate Program in Psychology, University of Western Ontario, London, Canada.
  • Angela C Roberts
    School of Communication Sciences and Disorders, University of Western Ontario, London, Canada.
  • Ken McRae
    Department of Psychology and Brain and Mind Institute.
  • Laura J Batterink
    Department of Psychology, University of Western Ontario, London, Canada.
  • Blake E Butler
    Department of Psychology, University of Western Ontario, London, Canada.

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