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In:Expanding Horizons in Systemic Functional Linguistics: Interdisciplinary applications, multimodality, and theoretical advances
Edited by Claudia E. Stoian and Christian M.I.M. Matthiessen
[Studies in Functional and Structural Linguistics 80] 2027
► pp. 20–40

Chapter 1
Disciplinary knowledge integration between Systemic Functional Linguistics and Generative Artificial Intelligence

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Abstract
This contribution explores the challenges and opportunities of making Systemic Functional Linguistics (SFL) more accessible to a diverse audience and enhancing its appliability in various linguistic contexts. In particular, SFL will be used to explore how Generative AI encodes its language instantiations. The author will discuss how programming constructs and computational processes can be analogous to linguistic structures and functions from an SFL perspective, illuminating the interconnectedness between language structures and programming syntax. As technological advancements continue to reshape the landscape of linguistic research and computational applications, the fusion of SFL and Generative AI opens up avenues for innovative solutions in natural language understanding, human-computer interaction, and educational technology.
Article outline
  • 1.Introduction
  • 2.A holistic and integrated approach
  • 3.Large Language Model (LLM) and ChatGPT
  • 4.SFL and Generative AI
  • 5.Concluding remarks
  • Notes
  • References
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