ArticleProceedings of the National Academy of Sciences of the United States of America2019
Constraints on the lexicons of human languages have cognitive roots present in baboons (
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 17 citations in OpenAlex.
- From Human Child to Grey Parrot: Exploring a Common Model of Word Meaning Extension Across Species.Cognitive science · 2025Article
- Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals.Entropy (Basel, Switzerland) · 2021Article
- Monotone Quantifiers Emerge via Iterated Learning.Cognitive science · 2021Article
- Generative Grammar: A Meaning First Approach.Frontiers in psychology · 2020Article
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Authors and funding
4 authors at 1 institution in 2 countries.
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Abstract
Using a pattern extraction task, we show that baboons, like humans, have a learning bias that helps them discover connected patterns more easily than disconnected ones-i.e., they favor rules like "contains between 40% and 80% red" over rules like "contains around 30% red or 100% red." The task was made as similar as possible to a task previously run on humans, which was argued to reveal a bias that is responsible for shaping the lexicons of human languages, both content words (nouns and adjectives) and logical words (quantifiers). The current baboon result thus suggests that the cognitive roots responsible for regularities across the content and logical lexicons of human languages are present in a similar form in other species.
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