Publication: Why neural translations are the right length
dc.contributor.coauthor | Shi, Xing | |
dc.contributor.coauthor | Knight, Kevin | |
dc.contributor.department | Department of Computer Engineering | |
dc.contributor.kuauthor | Yüret, Deniz | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.date.accessioned | 2024-11-09T23:36:41Z | |
dc.date.issued | 2016 | |
dc.description.abstract | We investigate how neural, encoder-decoder translation systems output target strings of appropriate lengths, finding that a collection of hidden units learns to explicitly implement this functionality. | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | Amazon.com | |
dc.description.sponsorship | Baidu | |
dc.description.sponsorship | et al. | |
dc.description.sponsorship | ||
dc.description.sponsorship | Grammarly | |
dc.description.sponsorship | Microsoft | |
dc.identifier.doi | 10.18653/v1/d16-1248 | |
dc.identifier.isbn | 9781-9456-2625-8 | |
dc.identifier.scopus | 2-s2.0-85029504200 | |
dc.identifier.uri | https://doi.org/10.18653/v1/d16-1248 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/12688 | |
dc.keywords | Translation (languages) | |
dc.keywords | Encoder-decoder | |
dc.keywords | Hidden units | |
dc.keywords | Translation systems | |
dc.keywords | Natural language processing systems | |
dc.language.iso | eng | |
dc.publisher | Association for Computational Linguistics (ACL) | |
dc.relation.ispartof | EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings | |
dc.subject | Computer engineering | |
dc.title | Why neural translations are the right length | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Yüret, Deniz | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Computer Engineering | |
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