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
Issue Date:: 2019-06

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Field	Value	Language
dc.contributor.author	Jauregi Unanue, I https://orcid.org/0000-0001-6223-9584
dc.contributor.author	Zare Borzeshi, E
dc.contributor.author	Esmaili, N
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604
dc.date	2019-06-02
dc.date.accessioned	2020-06-16T23:54:49Z
dc.date.available	2020-06-16T23:54:49Z
dc.date.issued	2019-06
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
dc.identifier.uri	http://hdl.handle.net/10453/141462
dc.language	en
dc.publisher	Association for Computational Linguistics
dc.relation	Capital Markets Cooperative Research Centre - Capital Markets CRC
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)
dc.relation.ispartof	Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics
dc.relation.isbasedon	10.18653/v1/n19-1041
dc.rights	info:eu-repo/semantics/openAccess
dc.title	ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
dc.type	Conference Proceeding
utslib.location.activity	Minneapolis
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
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
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2020-06-16T23:54:45Z
pubs.finish-date	2019-06-07
pubs.publication-status	Published
pubs.start-date	2019-06-02

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http://hdl.handle.net/10453/141462