Modeling the Acquisition of Phonological Interactions: Biases and Generalization
Brandon Prickett & Gaja Jarosz. 2021. Modeling the Acquisition of Phonological Interactions: Biases and Generalization. Supplemental Proceedings of the 2020 Annual Meetings on Phonology, UCSC.
Learning syntactic parameters without triggers by assigning credit and blame
Brandon Prickett, Kaden Holladay, Shay Hucklebridge, Max Nelson, Rajesh Bhatt, Gaja Jarosz, Kyle Johnson, Aleksei Nazarov, and Joe Pater. 2019. Learning syntactic parameters without triggers by assigning credit and blame. Proceedings of the 55th Annual Meeting of the Chicago Linguistic…
The Credit Problem in Parametric Stress: A Statistical Approach
Aleksei Nazarov & Gaja Jarosz. 2021. The Credit Problem in Parametric Stress: A Statistical Approach. Glossa 6(1). 1-26. https://doi.org/10.16995/glossa.5884 In this paper, we introduce a novel domain-general, statistical learning model for P&P grammars: the Expectation Driven Parameter Learner (EDPL). We…
Generalizing from Inconsistent Data: The Combined Roles of Type and Token Frequency
Gaja Jarosz. 2023. Generalizing from Inconsistent Data: The Combined Roles of Type and Token Frequency. Colloquium talk, Yale University, New Haven, CT. November 2023. Language acquisition proceeds on the basis of incomplete, ambiguous linguistic input. Due to recent developments in…
Generalizing from Inconsistent Data: How much do Exceptions Count? (AMP 2022 Plenary)
Language acquisition proceeds on the basis of incomplete, ambiguous linguistic input, and one source of this ambiguity is hidden phonological structure. Due to recent developments in computational modeling of phonological learning, there now exist numerous approaches for learning of various…
Generalizing Phonological (Hidden) Structure (USC Talk & Minicourse)
Language acquisition proceeds on the basis of incomplete, ambiguous linguistic input, and one source of this ambiguity is hidden phonological structure. Due to recent developments in computational modeling of phonological learning, there now exist numerous approaches for learning of various…
Learning exceptionality and variation with lexically scaled MaxEnt
Coral Hughto, Andrew Lamont, Brandon Prickett, and Gaja Jarosz. 2019. Learning exceptionality and variation with lexically scaled MaxEnt. In Proceedings of the Second Annual Meeting of the Society for Computation in Linguistics (SCiL). 91-101.