Tag Archives: Statistical Learning

Pattern Structure Modulates Learning of Lexically Conditioned Morphology

Published on: Author: Gaja Jarosz

Hughes, Cerys and Jarosz, Gaja. Pattern Structure Modulates Learning of Lexically Conditioned Morphology. 2024. Poster presented at Architectures and Mechanisms for Language Processing (AMLaP 2024) in Edinburgh, Scotland, September 5-7, 2024. Poster. Work in first language acquisition and artificial grammar learning (AGL) indicates thatlanguage learners can extract systematic regularities from inconsistent language data. Insome cases,… Continue reading →

Type and Token Frequency Jointly Drive Learning of Morphology

Published on: Author: Gaja Jarosz

Jarosz, Gaja, Cerys Hughes, Andrew Lamont, Brandon Prickett, Maggie Baird, Seoyoung Kim & Max Nelson. 2024. Type and Token Frequency Jointly Drive Learning of Morphology. OSF. https://doi.org/10.31234/osf.io/mbp24. We examine the joint roles of type frequency and token frequency in three artificial language learning experiments involving lexicalized plural allomorphy. The primary role of type frequency in… Continue reading →

Learning syntactic parameters without triggers by assigning credit and blame

Published on: Author: Gaja Jarosz

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 Society (CLS), Chicago, Illinois.

The Credit Problem in Parametric Stress: A Statistical Approach

Published on: Author: Gaja Jarosz

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 show that the EDPL provides a mathematically principled solution to the Credit Problem (Dresher 1999).… Continue reading →

Hidden Structure and Ambiguity in Phonological Learning

Published on: Author: Gaja Jarosz

Jarosz, Gaja. January 2019. Hidden Structure and Ambiguity in Phonological Learning . Second Annual Meeting of the Society for Computation in LinguisticsNew York, New York.

Sonority Sequencing in Polish: the Combined Roles of Prior Bias and Experience

Published on: Author: Gaja Jarosz

Jarosz, Gaja & Rysling, Amanda. 2017. Sonority Sequencing in Polish: the Combined Roles of Prior Bias and Experience. Proceedings of the 2016 Annual Meetings on Phonology, USC. http://dx.doi.org/10.3765/amp.v4i0.3975