{"pk":29466,"title":"Learner dynamics in a model of wug inflection:Integrating frequency and phonology","subtitle":null,"abstract":"A recent large-scale wug-task study found that non-nativespeakers of English tend to produce fewer regular past-tense-ed inflections than native speakers (Cuskley et al., 2015). Inthis paper we present a model that can account for this dif-ference in behaviour as resulting from a difference in inputamounts and distributions. This model attends to both fre-quency, using Bayesian non-parametric methods, and phono-logical similarity between words, using a neural model of wordforms, and unifies these factors within a single probabilisticframework. We show that the general pattern of over-use ofirregular inflections in non-native speakers can result simplyfrom exposure to a smaller amount of input and does not re-quire any model-internal distinction of native and non-nativespeakers. Our model also captures the interaction betweenclass frequency and phonological similarity that was evidentacross all participant productions.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"inflectional morphology"},{"word":"modelling"},{"word":"learning"}],"section":"Language and Uncertainty","is_remote":true,"remote_url":"https://escholarship.org/uc/item/7bx2227t","frozenauthors":[{"first_name":"Stella","middle_name":"","last_name":"Frank","name_suffix":"","institution":"University of Edinburgh","department":""},{"first_name":"Kenny","middle_name":"","last_name":"Smith","name_suffix":"","institution":"University of Edinburgh","department":""},{"first_name":"Christine","middle_name":"","last_name":"Cuskley","name_suffix":"","institution":"Newcastle University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2020-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29466/galley/19326/download/"}]}