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Monotone Quantifiers Emerge via Iterated Learning
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Carcassi, Fausto; Steinert-Threlkeld, Shane; Szymanik, Jakub – Cognitive Science, 2021
Natural languages exhibit many "semantic universals," that is, properties of meaning shared across all languages. In this paper, we develop an explanation of one very prominent semantic universal, the monotonicity universal. While the existing work has shown that quantifiers satisfying the monotonicity universal are easier to learn, we…
Descriptors: Semantics, Language Universals, Learning