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Generalized Computable Models and Montague Semantics

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Logic and Algorithms in Computational Linguistics 2021 (LACompLing2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1081))

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Abstract

We consider algorithmic properties of mathematical models which are used in computational linguistics to formalize and represent the semantics of natural language sentences. For example, finite-order functionals play a crucial role in Montague intensional logic and formal semantics for natural languages. We discuss some computable models for the spaces of finite-order functionals based on the Ershov-Scott theory of domains and approximation spaces. As another example, in the analysis of temporal aspects of verbs the scale of time is usually identified with the ordered set of real numbers or just a dense linear order. There are many results in generalized computability about such structures, and some of them can be applied in this analysis.

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Acknowlegements

The research was supported by the IM SB RAS state assignment, project number FWNF-2022-0012.

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Correspondence to Alexey Stukachev .

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Burnistov, A., Stukachev, A. (2023). Generalized Computable Models and Montague Semantics. In: Loukanova, R., Lumsdaine, P.L., Muskens, R. (eds) Logic and Algorithms in Computational Linguistics 2021 (LACompLing2021). Studies in Computational Intelligence, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-031-21780-7_5

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