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…
Learning Parametric Stress without Domain-Specific Mechanisms
Nazarov, Aleksei & Jarosz, Gaja. 2017. Learning Parametric Stress without Domain-Specific Mechanisms. Proceedings of the 2016 Annual Meetings on Phonology, USC. http://dx.doi.org/10.3765/amp.v4i0.4010
Learning parametric stress without domain-specific mechanisms (AMP 2016 talk)
Nazarov, Aleksei and Gaja Jarosz. Oct 2016. Learning parametric stress without domain-specific mechanisms. Annual Meetings on Phonology 2016, University of Southern California.
Refining UG: Connecting Phonological Theory and Learning (NELS 47 Invited Talk)
Jarosz, Gaja. Oct 2016. Refining UG: Connecting Phonological Theory and Learning. Invited talk, NELS 47. University of Massachusetts Amherst, MA.
Naive Parameter Learning for Optimality Theory – the Hidden Structure Problem
Jarosz, Gaja. 2013. Naive Parameter Learning for Optimality Theory – the Hidden Structure Problem. In Proceedings of the 40th Annual Meeting of the North East Linguistic Society.