Computational Modeling of Phonological Learning
Jarosz, Gaja. 2019. Computational Modeling of Phonological Learning. In Annual Review of Linguistics 5:67-90.
Tag Archives: Alternations
Learning General Phonological Rules from Distributional Information: A Computational Model
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.
The Roles of Phonotactics and Frequency in the Learning of Alternations
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.
Restrictiveness in Phonological Grammar and Lexicon Learning
Jarosz, Gaja 2009. Restrictiveness in Phonological Grammar and Lexicon Learning. In Proceedings of the 43rd Annual Meeting of the Chicago Lingusitic Society.
Rich Lexicons and Restrictive Grammars – Maximum Likelihood Learning in Optimality Theory
Jarosz, Gaja. 2006. Rich Lexicons and Restrictive Grammars – Maximum Likelihood Learning in Optimality Theory. PhD dissertation, Johns Hopkins University. Rutgers Optimality Archive #884.
Richness of the Base and Probabilistic Unsupervised Learning in Optimality Theory
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.