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{ "pk": 28519, "title": "Modeling individual performance in cross-situational word learning", "subtitle": null, "abstract": "What mechanisms underlie people’s ability to use cross-situational statistics to learn the meanings of words? Here wepresent a large-scale evaluation of two major models of cross-situational learning: associative (Kachergis, Yu, & Shiffrin,2012a) and hypothesis testing (Trueswell, Medina, Hafri, &Gleitman, 2013). We fit each model individually to over 1500participants across seven experiments with a wide range ofconditions. We find that the associative model better capturesthe full range of individual differences and conditions whenlearning is cross-situational, although the hypothesis testingapproach outperforms it when there is no referential ambiguityduring training.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Cross-situational word learning; language acqui-sition; Zipfian distributions" } ], "section": "Papers with Oral Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/134389ps", "frozenauthors": [ { "first_name": "Yung", "middle_name": "Han", "last_name": "Khoe", "name_suffix": "", "institution": "Radboud University Nijmegen", "department": "" }, { "first_name": "Amy", "middle_name": "", "last_name": "Perfors", "name_suffix": "", "institution": "University of Melbourne", "department": "" }, { "first_name": "Andrew", "middle_name": "T.", "last_name": "Hendrickson", "name_suffix": "", "institution": "Tilburg University", "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/28519/galley/18390/download/" } ] }