Jennifer Culbertson
Orcid: 0000-0002-1737-6296Affiliations:
- University of Edinburgh, UK
According to our database1,
Jennifer Culbertson authored at least 50 papers
between 2012 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Evaluating the relationship between regularity and learnability in recursive numeral systems using Reinforcement Learning.
CoRR, February, 2026
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
With or Without a System: How Category-Specific and System-Wide Cognitive Biases Shape Word Order.
Cogn. Sci., 2025
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Testing counterintuitive predictions about cost-based inferences in learning from the Rational Speech Act model.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Can input statistics over-ride a prior bias in morpheme ordering? A test case with gender and number.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Neuro-identity mixing impacts linguistic accommodation and regularisation: evidence from autistic and allistic interactions.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Native Language Suffixation Patterns and Perception of Sequences: A Case of Cantonese Speakers.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
2024
Autistic Traits, Communicative Efficiency, and Social Biases Shape Language Learning in Autistic and Allistic Learners.
Cogn. Sci., November, 2024
Predictability and Variation in Language Are Differentially Affected by Learning and Production.
Cogn. Sci., April, 2024
Cogn. Sci., March, 2024
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
What can L1 speakers tell us about killing hope? A Novel Behavioral Measure for Identifying Collocations.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
Domain-general categorisation principles explain the prevalence of animacy and absence of colour in noun classification systems.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
The key property of frequency distributions that facilitates linguistic rule generalisation is long-tailedness.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
2023
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Communicative efficiency is present in young children and becomes more adult-like with age.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Speakers' cognitive representations of gender and number morphology shape cross-linguistic tendencies in morpheme order.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Evidence for a language-independent conceptual representation of pronominal referents.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
How communicative efficiency and social biases shape language in autistic and allistic learners.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
2022
The Impact of Information Structure on the Emergence of Differential Object Marking: An Experimental Study.
Cogn. Sci., 2022
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
The Influence of Category-specific and System-wide Preferences on Cross-Linguistic Word Order Patterns.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
2021
Investigating the effects of i-complexity and e-complexity on the learnability of morphological systems.
J. Lang. Model., 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Infinite use of finite means? Evaluating the generalization of center embedding learned from an artificial grammar.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
2019
Acquiring Agglutinating and Fusional Languages Can Be Similarly Difficult: Evidence from an Adaptive Tracking Study.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
The cultural evolution of complex linguistic constructions in artificial sign languages.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Language-users choose short words in predictive contexts in an artificial language task.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
2013
Top. Cogn. Sci., 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
2012
Typological Universals as Reflections of Biased Learning: Evidence from Artificial Language Learning.
Lang. Linguistics Compass, 2012
A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word-Order Universal.
Cogn. Sci., 2012