On the Relationship between Syntactic and Semantic Encoding in Metric Space Language Models

The relationship between form and meaning is central to the theory of language. Traditionally, syntax and semantics are viewed as two different levels of representation. Based on insights from the intersection of dynamical systems theory and the theory of computation, and guided by linguistic data,...

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Bibliographic Details
Published inJournal of Cognitive Science Vol. 22; no. 2; pp. 35 - 67
Main Author Whitney Tabor
Format Journal Article
LanguageKorean
Published 서울대학교 인지과학연구소 30.06.2021
Subjects
Dynamical Automaton
Dynamical Systems Theory
Fractal Grammar
Semantics
Syntax
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Summary:The relationship between form and meaning is central to the theory of language. Traditionally, syntax and semantics are viewed as two different levels of representation. Based on insights from the intersection of dynamical systems theory and the theory of computation, and guided by linguistic data, I argue that there is only one space, a syntactic-semantic one. I model it here as a stable, countably infinite attractor of an iterated map dynamical system. One advantage of this approach is that it supports a unified treatment of grammatical and ungrammatical processing.
Bibliography:Institute of Cognitive Science
ISSN:1598-2327