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A Cognitive Bias for Cross-Category Word Order Harmony
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Infinite use of finite means? Evaluating the generalization of center embedding learned from an artificial grammar
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Let's talk (efficiently) about us: Person systems achieve near-optimal compression
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Polarity Particles (Ease-of-Learning with nonce particles) ...
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Cross-linguistic patterns of morpheme order reflect cognitive biases: An experimental study of case and number morphology ...
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Infinite use of finite means? Evaluating the generalization of center embedding learned from an artificial grammar ...
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Let's talk (efficiently) about us: Person systems achieve near-optimal compression ...
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Abstract:
Systems of personal pronouns (e.g.,you' andI') vary widely across languages, but at the same time not all possible systems are attested. Linguistic theories have generally accounted for this in terms of strong grammatical constraints, but recent experimental work challenges this view. Here, we take a novel approach to understanding personal pronoun systems by invoking a recent information-theoretic framework for semantic systems that predicts that languages efficiently compress meanings into forms. We find that a test set of cross-linguistically attested personal pronoun systems achieves near-optimal compression, supporting the hypothesis that efficient compression shapes semantic systems. Further, our best-fitting model includes an egocentric bias that favors a salient speaker representation, accounting for a well-known typological generalization of person systems (`Zwicky's Generalization') without the need for a hard grammatical constraint. ...
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Keyword:
Cognitive Science
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URL: https://dx.doi.org/10.48448/ac44-7487
https://underline.io/lecture/27501-let's-talk-(efficiently)-about-us-person-systems-achieve-near-optimal-compression
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Revisiting the Suffixing Preference: Native-Language Affixation Patterns Influence Perception of Sequences ...
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Collecting Response Time Data Using Amazon Mechanical Turk ...
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Predictive structure and the learnability of inflectional paradigms: investigating whether low i-complexity benefits human learners and neural networks
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How language adapts to the environment: an evolutionary, experimental approach
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| 19 |
Nobody Doesn’t Like Negative Concord
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In: J Psycholinguist Res (2021)
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Experimental evidence for the influence of structure and meaning on linear order in the noun phrase
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In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 97 ; 2397-1835 (2020)
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