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Effect-Driven Interpretation

Functors for Natural Language Composition

Expected online publication date:  10 July 2026

Dylan Bumford
Affiliation:
University of California, Los Angeles
Simon Charlow
Affiliation:
Yale University

Summary

Computer programs are often factored into pure components - simple, total functions from inputs to outputs - and components that may have side effects - errors, changes to memory, parallel threads, abortion of the current loop, and so on. In this Element, the authors make the case that human languages are similarly organized around the give and pull of pure values and impure processes, and show how denotational techniques from computer science can be leveraged to support elegant and illuminating analyses of semantic composition in natural language.

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Effect-Driven Interpretation
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Effect-Driven Interpretation
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Effect-Driven Interpretation
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