
TL;DR
This paper proposes a comprehensive Bayesian cognitive linguistic model of language that explains its speed, expressivity, and diversity, integrating syntax, semantics, pragmatics, and language evolution through construction grammars and unification.
Contribution
It introduces a novel unified theory combining construction grammars with Bayesian inference, explaining language processing, pragmatics, and evolution in a single framework.
Findings
Language processing is modeled as rapid unification of feature structures.
The theory accounts for pragmatic phenomena and language diversity.
Language evolution is linked to sexual selection for intelligence display.
Abstract
A unified theory of language combines a Bayesian cognitive linguistic model of language processing, with the proposal that language evolved by sexual selection for the display of intelligence. The theory accounts for the major facts of language, including its speed and expressivity, and data on language diversity, pragmatics, syntax and semantics. The computational element of the theory is based on Construction Grammars. These give an account of the syntax and semantics of the worlds languages, using constructions and unification. Two novel elements are added to construction grammars: an account of language pragmatics, and an account of fast, precise language learning. Constructions are represented in the mind as graph like feature structures. People use slow general inference to understand the first few examples they hear of any construction. After that it is learned as a feature…
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Taxonomy
TopicsLanguage and cultural evolution · Cognitive Science and Education Research · Syntax, Semantics, Linguistic Variation
