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In:Profiling Autism Through Language: Lexicogrammar, neurocognition, and machine learning
Sumi Kato
[Not in series 246] 2026
► pp. 9–25

Chapter 2
Construction of the spoken language corpus of ASD and non-ASD

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Article outline
  • 2.1Overview
  • 2.2SFL-based model of language and its cognitive extension
    for ASD analysis
    • 2.2.1The stratified model of SFL
      • i.Ideational
      • ii.Interpersonal
      • iii.Textual
    • 2.2.2Extending the model: Integrating cognition
    • 2.2.3Cognitive grounding of ASD-specific patterns
  • 2.3Theoretical foundations of the annotation framework
  • 2.4Method
    • 2.4.1Participants and tasks
      • Participants
      • Tasks
    • 2.4.2Construction of system network and annotation scheme
    • 2.4.3The structure and functionality of the corpus
    • 2.4.4Machine learning of annotation: Toward automated semantic tagging
  • 2.5Chapter conclusion
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