The Intersection of Discourse Analysis and Pragmatics in the Age of Artificial Intelligence

Abstract In recent years, the burgeoning field of Artificial Intelligence (AI) has transformed various domains, including language processing and communication analysis. This paper explores the synergetic relationship between discourse analysis and pragmatics within the AI era. Discourse analysis examines how language use influences social interaction, while pragmatics focuses on the context-dependent meaning of language. As AI technologies advance—particularly in natural language processing (NLP)—understanding these linguistic frameworks becomes pivotal. This research highlights the implications for AI-driven communication tools, discusses challenges related to ambiguity and context, and presents future directions for intersecting discourse analysis and pragmatics in AI. By bridging these linguistic branches, we uncover new pathways for improving AI communication, enhancing user interaction, and mitigating potential misunderstandings in human-AI exchanges. Keywords: Discourse Analysis, Pragmatics, Artificial Intelligence, Natural Language Processing, Human-AI Interaction, Contextual Meaning, Linguistic Frameworks

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15359982
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

The Intersection of Discourse Analysis and Pragmatics in the Age of Artificial Intelligence

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

The Intersection of Discourse Analysis and Pragmatics in the Age of Artificial Intelligence

article en

Abstract

Abstract In recent years, the burgeoning field of Artificial Intelligence (AI) has transformed various domains, including language processing and communication analysis. This paper explores the synergetic relationship between discourse analysis and pragmatics within the AI era. Discourse analysis examines how language use influences social interaction, while pragmatics focuses on the context-dependent meaning of language. As AI technologies advance—particularly in natural language processing (NLP)—understanding these linguistic frameworks becomes pivotal. This research highlights the implications for AI-driven communication tools, discusses challenges related to ambiguity and context, and presents future directions for intersecting discourse analysis and pragmatics in AI. By bridging these linguistic branches, we uncover new pathways for improving AI communication, enhancing user interaction, and mitigating potential misunderstandings in human-AI exchanges. Keywords: Discourse Analysis, Pragmatics, Artificial Intelligence, Natural Language Processing, Human-AI Interaction, Contextual Meaning, Linguistic Frameworks

Zenodo (CERN European Organization for Nuclear Research)
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AI in Service Interactions
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