Machine Learning Meets Discourse

Algorithms, Performance, and Interpretation
1. Auflage 2026
ISBN: 978-1-041-25049-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 178 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Routledge Studies in Linguistics

Tay explores the Performance-Interpretability Trade-off (PIT) as a critical tension in AI and machine learning, and shows its distinctive form in discourse analysis where predictive success and interpretive meaning are inseparable.

Rather than treating PIT as a technical obstacle, this book reframes it as a site of conceptual negotiation and theoretical innovation. It introduces constructs such as strategic indeterminacy and PIT elasticity alongside analytic strategies like discourse fingerprinting, to show how discourse knowledge can actively reshape computational assumptions at every level of the analytic pipeline. Through sustained case studies, the book equips readers to engage machine learning algorithms as a partner in interpretation and methodological reflection.

An essential resource for scholars and researchers in linguistics, discourse analysts, computational linguists, and digital humanities, offering a comprehensive roadmap for harnessing machine learning's transformative potential.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Tay, Dennis

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Geisteswissenschaften Sprachwissenschaft Sprachwissenschaften

Inhaltsverzeichnis

Chapter 1. Introduction Chapter 2. The Performance–Interpretability Trade-off Chapter 3. Quantification Schemes Chapter 4. The Elasticity of Performance and Interpretability Chapter 5. Discourse Fingerprinting through Comparative Classifier Performance Chapter 6 Conclusion

Über Autor(innen)

Dennis Tay is Professor at the Division of Humanities, The Hong Kong University of Science and Technology, Hong Kong. He is trained in linguistics and computational mathematics. He is Co-Editor-in-Chief of Metaphor and the Social World and Associate Editor of Metaphor and Symbol, among other editorial board memberships.