Plausibility and Well-formedness Acceptability Test on Deep Neural Nativeness Classification
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sanghoun Song | - |
dc.date.accessioned | 2021-08-27T10:36:46Z | - |
dc.date.available | 2021-08-27T10:36:46Z | - |
dc.date.created | 2021-04-22 | - |
dc.date.issued | 2020-10-24 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/5062 | - |
dc.publisher | VNU University of Science | - |
dc.title | Plausibility and Well-formedness Acceptability Test on Deep Neural Nativeness Classification | - |
dc.title.alternative | Plausibility and Well-formedness Acceptability Test on Deep Neural Nativeness Classification | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Sanghoun Song | - |
dc.identifier.bibliographicCitation | The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34) | - |
dc.relation.isPartOf | The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34) | - |
dc.relation.isPartOf | Proceedings of PACLIC 34 | - |
dc.citation.title | The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34) | - |
dc.citation.conferencePlace | VN | - |
dc.citation.conferencePlace | 코로나 사태로 인해 온라인 전환 | - |
dc.citation.conferenceDate | 2020-10-24 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 1 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.