Moore-Cantwell, Claire and Gaja Jarosz. 2024. Empirical neighborhoods of nonwords: Assessing the 1-edit model. 2024. Poster presented at Architectures and Mechanisms for Language Processing (AMLaP 2024) in Edinburgh, Scotland, September 5-7, 2024. Abstract
Talks
Pattern Structure Modulates Learning of Lexically Conditioned Morphology
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, […]
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 Society (CLS), Chicago, Illinois.
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 computational modeling of morphophonological learning, there now exist numerous approaches for learning of various kinds […]
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 kinds of hidden phonological structure from incomplete, unlabeled, and noisy data. These computational models make it […]
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 kinds of hidden phonological structure from incomplete, unlabeled, and noisy data. These computational models make it […]
Hidden Structure and Ambiguity in Phonological Learning
Jarosz, Gaja. January 2019. Hidden Structure and Ambiguity in Phonological Learning . Second Annual Meeting of the Society for Computation in LinguisticsNew York, New York.
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.
Indexed Morphemes and Locality Conditions on Polish Yer Deletion
Jarosz, Gaja. May 2018. Indexed Morphemes and Locality Conditions on Polish Yer Deletion. 26th Manchester Phonology Meeting. Manchester, England.