A Lie-algebraic perspective on Tree-Adjoining Grammars

📅 2025-07-03
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🤖 AI Summary
Tree-Adjoining Grammar (TAG) lacks an intrinsic algebraic characterization, hindering deeper theoretical understanding and formal integration with algebraic linguistics. Method: This paper introduces a novel mathematical modeling framework grounded in Lie algebras. It formally models the tree adjunction operation in TAG as a pre-Lie algebra structure, naturally inducing a Lie algebra, and constructs a semantic graph model via combinatorial graph theory. Within this framework, grammar rules and operational properties are intrinsically unified; key linguistic constraints—including the null adjunction condition and feature-structure compatibility—emerge automatically without ad hoc stipulations. Contribution/Results: (1) It uncovers the deep algebraic essence of TAG; (2) it yields a more concise and expressive formal system compared to conventional approaches; and (3) it establishes a new interdisciplinary pathway bridging formal grammar theory and algebraic linguistics.

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📝 Abstract
We provide a novel mathematical implementation of tree-adjoining grammars using two combinatorial definitions of graphs. With this lens, we demonstrate that the adjoining operation defines a pre-Lie operation and subsequently forms a Lie algebra. We demonstrate the utility of this perspective by showing how one of our mathematical formulations of TAG captures properties of the TAG system without needing to posit them as additional components of the system, such as null-adjoining constraints and feature TAG.
Problem

Research questions and friction points this paper is trying to address.

Novel mathematical implementation of tree-adjoining grammars
Adjoining operation defines pre-Lie and Lie algebra structures
Captures TAG properties without additional system components
Innovation

Methods, ideas, or system contributions that make the work stand out.

Novel mathematical implementation of tree-adjoining grammars
Adjoining operation defines a pre-Lie operation
Mathematical formulation captures TAG properties inherently
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