Back to search

Article

Early identification of language disorders using natural language processing and machine learning: Challenges and emerging approaches

2023-09-26

Abstract excerpt

<p>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. <h4>Method:</h4> We first des...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
bb146013-0612-5c8a-8b46-e7b8a86aec30
DOI
10.31234/osf.io/gzadu
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Early identification of language disorders using natural language processing and machine learning: Challenges and emerging approachesDOI 10.31234/osf.io/gzadu
Language Model Applications for Early Diagnosis of Childhood EpilepsySemantic proximity
Initial Development of Tools to Identify Child Abuse and Neglect in Pediatric Primary CareSemantic proximity
Automated de-identification of linguistically-diverse clinical narratives: a retrospective, multi-agent AI framework development and validation study in a global health surveillance networkSemantic proximity
Review Protocol: A Scoping Review of Natural Language Processing Technologies for Public Health in AfricaSemantic proximity
Implementation Report: Integrating Natural Language Processing Approaches in Child and Adolescent Mental Health Services Research Using Normalisation Process TheorySemantic proximity
Implementation Report: Integrating Natural Language Processing Approaches in Child and Adolescent Mental Health Services Research Using Normalisation Process TheorySemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismSemantic proximity
The Evidential Value and Pitfalls of Extant Language Development Research MethodsSemantic proximity
A medical algorithmic audit framework for evaluating the safety, equity, and quality of an AI Scribe tool in a paediatric developmental assessment clinicSemantic proximity
Select a neighboring publication to make it the new centre.