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  1. Recursive Numeral Systems Optimize the Trade‐off Between Lexicon Size and Average Morphosyntactic Complexity.Milica Denić & Jakub Szymanik - 2024 - Cognitive Science 48 (3):e13424.
    Human languages vary in terms of which meanings they lexicalize, but this variation is constrained. It has been argued that languages are under two competing pressures: the pressure to be simple (e.g., to have a small lexicon) and to allow for informative (i.e., precise) communication, and that which meanings get lexicalized may be explained by languages finding a good way to trade off between these two pressures. However, in certain semantic domains, languages can reach very high levels of informativeness even (...)
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  • Quantifiers satisfying semantic universals have shorter minimal description length.Iris van de Pol, Paul Lodder, Leendert van Maanen, Shane Steinert-Threlkeld & Jakub Szymanik - 2023 - Cognition 232 (C):105150.
  • Conceptual Similarity and Communicative Need Shape Colexification: An Experimental Study.Andres Karjus, Richard A. Blythe, Simon Kirby, Tianyu Wang & Kenny Smith - 2021 - Cognitive Science 45 (9):e13035.
    Colexification refers to the phenomenon of multiple meanings sharing one word in a language. Cross‐linguistic lexification patterns have been shown to be largely predictable, as similar concepts are often colexified. We test a recent claim that, beyond this general tendency, communicative needs play an important role in shaping colexification patterns. We approach this question by means of a series of human experiments, using an artificial language communication game paradigm. Our results across four experiments match the previous cross‐linguistic findings: all other (...)
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  • Update rules and semantic universals.Luca Incurvati & Giorgio Sbardolini - 2023 - Linguistics and Philosophy 46 (2):259-289.
    We discuss a well-known puzzle about the lexicalization of logical operators in natural language, in particular connectives and quantifiers. Of the many logically possible operators, only few appear in the lexicon of natural languages: the connectives in English, for example, are conjunction _and_, disjunction _or_, and negated disjunction _nor_; the lexical quantifiers are _all, some_ and _no_. The logically possible nand (negated conjunction) and Nall (negated universal) are not expressed by lexical entries in English, nor in any natural language. Moreover, (...)
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  • Shared semantics: Exploring the interface between human and chimpanzee gestural communication.Mathew Henderson, Patrick G. Grosz, Kirsty E. Graham, Catherine Hobaiter & Pritty Patel-Grosz - forthcoming - Mind and Language.
    Striking similarities across ape gestural repertoires suggest shared phylogenetic origins that likely provided a foundation for the emergence of language. We pilot a novel approach for exploring possible semantic universals across human and nonhuman ape species. In a forced‐choice task, n = 300 participants watched 10 chimpanzee gesture forms performed by a human and chose from responses that paralleled inferred meanings for chimpanzee gestures. Participants agreed on a single meaning for nine gesture forms; in six of these the agreed form‐meaning (...)
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  • Simplicity and informativeness in semantic category systems.Jon W. Carr, Kenny Smith, Jennifer Culbertson & Simon Kirby - 2020 - Cognition 202 (C):104289.
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  • Monotone Quantifiers Emerge via Iterated Learning.Fausto Carcassi, Shane Steinert-Threlkeld & Jakub Szymanik - 2021 - Cognitive Science 45 (8):e13027.
    Natural languages exhibit manysemantic 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 provide a more complete explanation by considering the emergence of quantifiers from the perspective of cultural evolution. In particular, we show that quantifiers satisfy the monotonicity universal evolve reliably in an iterated learning paradigm (...)
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