Jennifer Culbertson

Orcid: 0000-0002-1737-6296

Affiliations:
  • University of Edinburgh, UK


According to our database1, Jennifer Culbertson authored at least 28 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Predictability and Variation in Language Are Differentially Affected by Learning and Production.
Cogn. Sci., April, 2024

Evaluating the Relative Importance of Wordhood Cues Using Statistical Learning.
Cogn. Sci., March, 2024

2022
The Impact of Information Structure on the Emergence of Differential Object Marking: An Experimental Study.
Cogn. Sci., 2022

Agreement can facilitate learning of noun class systems.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Trees neural those: RNNs can learn the hierarchical structure of noun phrases.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Learnability and constraints on the semantics of clause-embedding predicates.
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

Syntactic harmony arises from a domain-general learning bias.
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

Let's talk (efficiently) about us: Person systems achieve near-optimal compression.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

A Cognitive Bias for Cross-Category Word Order Harmony.
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

Do cross-linguistic patterns of morpheme order reflect a cognitive bias?
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Do learners' word order preferences reflect hierarchical language structure?
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Something about "us": Learning first person pronoun systems.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Assessing Integrative Complexity as a Measure of Morphological Learning.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Do children privilege phonological cues in noun class learning?
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
The influence of word-order harmony on structural priming in artificial languages.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Silent gesture and noun phrase universals.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Is the strength of regularisation behaviour uniform across linguistic levels?
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

Harmony in a non-harmonic language: word order learning in French children.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2013
Cognitive Biases, Linguistic Universals, and Constraint-Based Grammar Learning.
Top. Cogn. Sci., 2013

Artificial grammar learning of shape-based noun classification.
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


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