Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches.
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...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 68; no. 2; pp. 705 - 719 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Feb2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=182780495&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 182780495 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Feb2025 vid: 68 iid: 2 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 182780495 10.1044/2024_JSLHR-24-00515 ppf: 705 ppct: 14 formats: fmt: @attributes: type: P size: 820KB tig: atl: Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches. aug: au: Lammert, Jessica M. Roberts, Angela C. McRae, Ken Batterink, Laura J. Butler, Blake E. affil: Graduate Program in Psychology, University of Western Ontario, London, Canada. School of Communication Sciences and Disorders, University of Western Ontario, London, Canada. Department of Computer Science, University of Western Ontario, London, Canada. Department of Psychology, University of Western Ontario, London, Canada. Centre for Brain and Mind, University of Western Ontario, London, Canada. National Centre for Audiology, University of Western Ontario, London, Canada. su: Comparative grammar Autism Linguistics Phonetics Semantics Vocabulary Children Language disorder diagnosis Phonological awareness Natural language processing Child development deviations Speech evaluation Early diagnosis Machine learning Automation Asperger's syndrome Algorithms sug: subj: Comparative grammar Autism Linguistics Phonetics Semantics Vocabulary Children Language disorder diagnosis Phonological awareness Natural language processing Child development deviations Speech evaluation Early diagnosis Machine learning Automation Asperger's syndrome Algorithms ab: 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. Method: We first describe the current barriers to clinicians’ use of language sample analysis, narrative language sampling approaches, and the data processing stages that precede analysis. We then present recent studies demonstrating the automated extraction of linguistic features and identification of developmental language disorder using natural language processing and machine learning. We explain how these tools operate and emphasize how the decisions made in construction impact their performance in important ways, especially in the analysis of child language samples. We conclude with a discussion of major challenges in the field with respect to bias, access, and generalizability across settings and applications. Conclusion: Given the progress that has occurred over the last decade, computer-automated approaches offer a promising opportunity to improve the efficiency and accessibility of language sample analysis and expedite the diagnosis and treatment of language disorders in children. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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