Language in the Era of Generative AI: Insights from Large Language Models

Springer eBooks 2026 Book chapter Open access

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Authors: Tadahiro Taniguchi
DOI: 10.1007/978-981-95-1327-7_31
Cited by: 0

Abstract

This chapter examines generative AI and large language models (LLMs) through the lens of symbol emergence systems. While LLMs exhibit emergent semantic structures via distributional semantics, the author argues that genuine grounding requires embodied interaction. By advocating a usage-based model of meaning, the chapter suggests that multimodal AI can integrate relational and experiential semantics.

Fields of Study & Subjects

Cybernetics and Technology in Society Embodied and Extended Cognition Syntax Semantics Linguistic Variation

Publication details

Journal / source
Springer eBooks
Pages
197–201
Publication date
1 January 2026
Language
EN
Document type
Book chapter