**A Resonance Theory of Language and Meaning**

This paper presents the tenth contribution in an ongoing research series devoted to the study of resonance as a foundational principle underlying language, grammar, and meaning in complex systems.Building on the theoretical, formal, and conceptual results developed in the preceding works, we provide a unified framework in which linguistic structure is understood as an emergent property of resonant dynamics operating under constraints, memory, and compositional closure. Rather than treating language as a predefined symbolic code or a rule-based generative system, we model symbols as discrete, stable equivalence classes of resonant states, grammar as the dynamical stability of symbol composition, and meaning as sustained resonance between internal system states and environmental dynamics.The framework integrates insights from dynamical systems theory, information theory, cognitive science, linguistics, and artificial intelligence. The present work synthesizes prior formal results with cross-domain empirical observations, including human–AI interaction, symbolic systems, artificial models, and biological analogues. Special attention is given to negative and boundary cases, demonstrating how failures of resonance correspond to breakdowns of grammaticality and semantic coherence. By situating language, grammar, and semantics within a single resonance-based dynamical architecture, this paper advances a coherent, falsifiable research program with direct implications for cognitive science, linguistics, and the design and alignment of artificial intelligence systems.