Language Occurrence

Résumé du livre

Language Occurrence proposes a paradigm shift beyond signs and rules by redefining language as an occurrence-a living event of becoming-rather than a symbolic inventory, a rule engine, or a mirror that "corresponds" to the world. Grounded in SIO Ontology (Subject-Interaction-Object), the book traces a generative chain that conventional linguistics rarely confronts: SIO existence gives rise to difference; difference stabilizes into feature entanglement; entanglement particleizes into symbols; symbols fieldize into language as a structured field of connection, order, and form. In this view, language is not discovered; it comes into being. Across three major parts, the book reconstructs linguistic theory as a dynamics of tension. Meaning, word order, and grammar are not separate modules but distinct manifestations of a single triadic engine: the Law of Feature (stabilizing differences into semantic contours), the Law of Freedom (path selection and reorganization in expression), and the Law of Fulfillment (closure and completion that solidify structure). Grammar is reinterpreted as a long-term closure memory of tension release-what appears as rules are monuments left behind by occurrence. This framework enables a systematic deconstruction of influential modern narratives-structuralist sign theories, generative formalism, and mainstream acquisition models-by exposing a shared "from-end-to-origin" error: treating symbol manipulation and rule execution as language's essence while ignoring the prior emergence of symbols from entangled features within lived interaction. The critique extends to the Chinese Room thought experiment, not by debating "understanding" as a hidden mental state, but by showing that symbol-rule closure can simulate outputs while remaining outside the occurrence chain that makes language alive. The book also develops practical implications for education and AI. Language learning is reframed as a breathing cycle-entering confusion, sustaining tension, breaking through into insight, and returning to new uncertainty-so teaching becomes the design of differences and interactions that allow language to occur. Large language models may imitate structure, but genuine language requires the generative tension of SIO life; AI should therefore function as a collaborator for generating contrastive situations and cross-context verification, not as a substitute for occurrence.