{"pk":28815,"title":"Statistical Learning of Conjunctive Probabilities","subtitle":null,"abstract":"Most statistical learning studies focus on the learning oftransitional probabilities between adjacent elements in asequence, however, other statistical regularities may un-derpin different aspects of processing language and regu-larities in other domains. Here, we investigate how con-junctive statistical regularities (of the form A and B to-gether predict C) can be learned, and how this learningis impacted by similarity in representations analogousto that in unambiguous words, homonyms with mul-tiple unrelated meanings, and polysemes with multiplerelated meanings. We observed that provided the stimu-lus structure is relatively simple, participants are readilyable to learn conjunctive probabilities and display sen-sitivity to relatedness among representations. These re-sults open new theoretical possibilities for exploring thedomain-generality of how the learning and processingsystems merge conjunctive information in simple labo-ratory tasks and in natural language.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Statistical Learning; Lexical Ambiguity;Transitional Probability; Conjunctive Probability"}],"section":"Papers with Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0nf5q4gd","frozenauthors":[{"first_name":"Di","middle_name":"","last_name":"Mo","name_suffix":"","institution":"University of Toronto","department":""},{"first_name":"Blair","middle_name":"C.","last_name":"Armstrong","name_suffix":"","institution":"University of Toronto","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28815/galley/18686/download/"}]}