ArticleCognitive science2021
Monotone Quantifiers Emerge via Iterated Learning.
Article in Cognitive science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Quantifier processing and semantic flexibility in patients with aphasia.Frontiers in psychology · 2024Article
- Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals.Entropy (Basel, Switzerland) · 2021Article
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3 authors.
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Abstract
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 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 with neural networks as agents.
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