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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
Denic, Milica; Steinert-Threlkeld, Shane; Szymanik, Jakub – Cognitive Science, 2022
The vocabulary of human languages has been argued to support efficient communication by optimizing the trade-off between simplicity and informativeness. The argument has been originally based on cross-linguistic analyses of vocabulary in semantic domains of content words, such as kinship, color, and number terms. The present work applies this…
Descriptors: Form Classes (Languages), Vocabulary, Semantics, Linguistics