Language Perception Theory : A Perceptual Ontology of Auditory and Visual Linguistic Symbol Systems

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Authors: Ping Qiao
Cited by: 0

Abstract

This article proposes a Perceptual Ontology of Language that distinguishes auditory‑based phonetic systems from visual‑semantic, trace‑based systems according to their sensory foundations. Auditory languages encode meaning through temporal sequencing, whereas visual languages organize meaning through spatial configuration, topological relations, and structural simultaneity. By restoring perception as the generative substrate of linguistic form, the framework explains why spoken and written symbol systems cannot be treated as variants of a single representational architecture. The analysis shows that visual languages such as the Chinese script stabilize meaning through persistent spatial structures that support polysemy, polyphony, and context‑dependent semantic resolution, properties that arise from the spatial ontology of inscription rather than from irregularity. A comparative framework demonstrates that auditory and visual systems generate distinct structural, cognitive, and semantic logics. As a contemporary illustration, the article examines why modern AI systems—built on auditory‑dominant, sequence‑based architectures—systematically misread visual‑semantic languages: their forced linearization of spatial forms exposes the consequences of applying a temporal ontology to a spatial domain, providing empirical validation for the proposed framework. Recognizing the perceptual foundations of language clarifies long‑standing theoretical asymmetries and offers a conceptual basis for hybrid architectures capable of integrating sound‑in‑time and trace‑in‑space as co‑equal generative logics.

Fields of Study & Subjects

Syntax Semantics Linguistic Variation Categorization perception and language Semiotics and Representation Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 January 2026
Document type
Preprint