{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/114091"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/114091","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Using known words to learn more words: A distributional model of child vocabulary acquisition","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01","abstract_has_math":false,"creators":["Flores, Andrew Z"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Willits, Jon"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-04-29T21:58:34Z","date_published":"2022-04-29T21:58:34Z","updated_at":"2026-07-22T22:24:54Z","subjects":["Psychology"],"languages":["en","eng"],"rights":["Copyright 2021 Andrew Flores"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/114091","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Willits, Jon"]},{"key":"dc:creator","label":"Author","values":["Flores, Andrew Z"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-04-29T21:58:34Z","2024-04-29T21:58:46Z","2021-12","2021-12-03"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Psychology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Andrew Flores"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/114091"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01","The student, Andrew Flores, accepted the attached license on 2021-11-30 at 11:35.","The student, Andrew Flores, submitted this Thesis for approval on 2021-11-30 at 11:46.","This Thesis was approved for publication on 2021-12-03 at 13:59.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17310 on 2022-04-29 at 16:10:14","Made available in DSpace on 2022-04-29T21:58:34Z (GMT). No. of bitstreams: 2 FLORES-THESIS-2021.pdf: 2226473 bytes, checksum: 0e6e2123381f3bb1a63a6ec5c20c770f (MD5) LICENSE.txt: 4210 bytes, checksum: 2922e11f7f847f104f78f99c9f83fc45 (MD5) Previous issue date: 2021-12-03","Embargo set by: Seth Robbins for item 123456 Lift date: 2024-04-29T21:58:46Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited","Why do children learn some words before others? A large body of behavioral research has identified properties of the language environment that facilitate word learning, emphasizing the importance of particularly informative language contexts. However, these findings have not informed research that uses distributional properties of words to predict vocabulary composition. In the current work, we introduce a predictor of word learning that emphasizes the role of prior knowledge. We investigate item-based variability in vocabulary development using lexical properties of distributional statistics derived from a large corpus of child-directed speech. Unlike previous analyses, we predicted word trajectories cross-sectionally, shedding light on trends in vocabulary development that may not have been evident at a single time point. We also show that regardless of a word’s grammatical class the best distributional predictor of whether a child knows a word is the number of other known words with which that word tends to co-occur."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Using known words to learn more words: A distributional model of child vocabulary acquisition"]}]}],"canonical_facts":{"dc:contributor":["Willits, Jon"],"dc:creator":["Flores, Andrew Z"],"dc:date":["2022-04-29T21:58:34Z","2024-04-29T21:58:46Z","2021-12","2021-12-03"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01","The student, Andrew Flores, accepted the attached license on 2021-11-30 at 11:35.","The student, Andrew Flores, submitted this Thesis for approval on 2021-11-30 at 11:46.","This Thesis was approved for publication on 2021-12-03 at 13:59.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17310 on 2022-04-29 at 16:10:14","Made available in DSpace on 2022-04-29T21:58:34Z (GMT). No. of bitstreams: 2 FLORES-THESIS-2021.pdf: 2226473 bytes, checksum: 0e6e2123381f3bb1a63a6ec5c20c770f (MD5) LICENSE.txt: 4210 bytes, checksum: 2922e11f7f847f104f78f99c9f83fc45 (MD5) Previous issue date: 2021-12-03","Embargo set by: Seth Robbins for item 123456 Lift date: 2024-04-29T21:58:46Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited","Why do children learn some words before others? A large body of behavioral research has identified properties of the language environment that facilitate word learning, emphasizing the importance of particularly informative language contexts. However, these findings have not informed research that uses distributional properties of words to predict vocabulary composition. In the current work, we introduce a predictor of word learning that emphasizes the role of prior knowledge. We investigate item-based variability in vocabulary development using lexical properties of distributional statistics derived from a large corpus of child-directed speech. Unlike previous analyses, we predicted word trajectories cross-sectionally, shedding light on trends in vocabulary development that may not have been evident at a single time point. We also show that regardless of a word’s grammatical class the best distributional predictor of whether a child knows a word is the number of other known words with which that word tends to co-occur."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/114091"],"dc:language":["en","eng"],"dc:rights":["Copyright 2021 Andrew Flores"],"dc:subject":["Psychology"],"dc:title":["Using known words to learn more words: A distributional model of child vocabulary acquisition"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}