{"pk":27961,"title":"Word Learning as Category Formation","subtitle":null,"abstract":"A fundamental question in word learning is how, given onlyevidence about what objects a word has previously referred to,children are able to generalize the total class (Smith &amp; Medin,1981; Xu &amp; Tenenbaum, 2007). E.g. how a child ends upknowing that ‘poodle’ only picks out a specific subset of dogsrather than the whole class and vice versa. The Na ̈ıve Gen-eralization Model (NGM) presented in this paper offers an ex-planation of word learning phenomena grounded in categoryformation (Smith &amp; Medin, 1981) The NGM captures a rangeof relevant experimental findings (Xu &amp; Tenenbaum, 2007;Spencer, Perone, Smith, &amp; Samuelson, 2011), including thosewhich are in conflict with a Bayesian inference theory (Xu &amp;Tenenbaum, 2007).","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Language Acquisition; Word Learning; Cognitive Modeling; Computational Linguistics"}],"section":"Publication-based-Talks","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0v45q7cj","frozenauthors":[{"first_name":"Spencer","middle_name":"","last_name":"Caplan","name_suffix":"","institution":"UPenn","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2018-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/27961/galley/17599/download/"}]}