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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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When Language Follows Form, Not Meaning

Authors: V. Startari, Agustin;

When Language Follows Form, Not Meaning

Abstract

Abstract This article introduces the concept of Formal Syntactic Activation to explain how large language models (LLMs) generate language through syntactic structure rather than semantic intent. In this framework, language follows form—not meaning. The paper examines the collapse of referential anchoring, the disappearance of the subject, and the emergence of syntactic legitimacy as the operative mode of coherence. It argues that grammatical fluency, not epistemic substance, increasingly defines the authority of AI-generated discourse. Connecting with previous findings on passive constructions, impersonal grammar, and algorithmic enunciation, the article develops a formal and falsifiable theory of non-referential generation in artificial syntax. It situates this theory within broader debates on language, structure, and machine-generated meaning. A mirrored version of this article is also available on Figshare for redundancy and citation indexing purposes: [DOI: 10.6084/m9.figshare.29263619] Resumen Este artículo introduce el concepto de Activación Sintáctica Formal para explicar cómo los modelos de lenguaje generativo (LLMs) operan exclusivamente a través de la estructura sintáctica, sin recurrir a la intención semántica. En este marco, el lenguaje no sigue al significado: sigue a la forma. El texto analiza el colapso del anclaje referencial, la desaparición del sujeto y el surgimiento de una legitimidad sintáctica que reemplaza la sustancia epistémica por fluidez gramatical. La autoridad discursiva en los sistemas generativos ya no proviene del contenido, sino de la continuidad formal. Vinculando trabajos anteriores sobre estructura pasiva, gramática impersonal y enunciación algorítmica, se propone una teoría formal y falsable de generación no referencial, aplicable a la sintaxis artificial. Este enfoque redefine el lenguaje generado por IA más allá de las categorías expresivas humanas.

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Keywords

Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/economics, Comparative linguistics--Statistical methods, Linguistics/legislation & jurisprudence, Artificial Intelligence/standards, Linguistics/ethics, Sign Language, Applied linguistics--Research, Artificial Intelligence, Machine learning, Machine learning--Experiments, Comparative linguistics, Artificial Intelligence/trends, Linguistics/trends, Language, Linguistics/standards, Artificial Intelligence/ethics, Linguistics/methods, Linguistics, Linguistics/classification, Linguistics/organization & administration, Machine learning--Technique, Linguistics/education, Formal Syntactic Activation, Ensemble learning (Machine learning), Artificial Intelligence/classification, Machine learning--Evaluation, FOS: Languages and literature, Linguistics/instrumentation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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