ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems

Jauregi Unanue, I; Zare Borzeshi, E; Esmaili, N; Piccardi, M

ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems

Jauregi Unanue, I Zare Borzeshi, E Esmaili, N Piccardi, M

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Publisher:: Association for Computational Linguistics
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 2019, pp. 430 - 436 (7)
Issue Date:: 2019-06

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Field	Value	Language
dc.contributor.author	Jauregi Unanue, I	en_US
dc.contributor.author	Zare Borzeshi, E	en_US
dc.contributor.author	Esmaili, N	en_US
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604	en_US
dc.date	2019-06-02	en_US
dc.date.issued	2019-06	en_US
dc.identifier.citation	Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 2019, pp. 430 - 436 (7)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137042
dc.publisher	Association for Computational Linguistics	en_US
dc.relation.ispartof	Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)	en_US
dc.relation.ispartof	Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics	en_US
dc.relation.isbasedon	10.18653/v1/n19-1041	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems	en_US
dc.type	Conference Proceeding
utslib.location.activity	Minneapolis	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.consider-herdc	true	en_US
pubs.finish-date	2019-06-07	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2019-06-02	en_US

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/137042