Jarosz, Gaja. To appear / 2019. Computational Modeling of Phonological Learning. To appear in Annual Review of Linguistics (5).
Calamaro, Shira & Gaja Jarosz. 2015. Learning General Phonological Rules from Distributional Information: A Computational Model. In Cognitive Science 39 (3), 647-666. doi: 10.1111/cogs.12167.
Jarosz, Gaja. 2011. The Roles of Phonotactics and Frequency in the Learning of Alternations. In Proceedings of the 35th Annual Meeting of the Boston University Conference on Language Development.
Jarosz, Gaja 2009. Restrictiveness in Phonological Grammar and Lexicon Learning. In Proceedings of the 43rd Annual Meeting of the Chicago Lingusitic Society.
Jarosz, Gaja. 2006. Rich Lexicons and Restrictive Grammars – Maximum Likelihood Learning in Optimality Theory. PhD dissertation, Johns Hopkins University. Rutgers Optimality Archive #884.
Jarosz, Gaja. 2006. Richness of the Base and Probabilistic Unsupervised Learning in Optimality Theory. Association for Computational Linguistics: Proceedings of the Eighth Meeting of the ACL Special Interest Group in Computational Phonology.
