Tag Archives: Regularization

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 →