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Conference Paper: Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation

TitleTowards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
Authors
Issue Date2022
PublisherAssociation for Computational Linguistics.
Citation
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), p. 142-157 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/319948

 

DC FieldValueLanguage
dc.contributor.authorCHEN, G-
dc.contributor.authorMa, S-
dc.contributor.authorChen, Y-
dc.contributor.authorZhang, D-
dc.contributor.authorPan, J-
dc.contributor.authorWang, WP-
dc.contributor.authorWei, F-
dc.date.accessioned2022-10-14T05:22:41Z-
dc.date.available2022-10-14T05:22:41Z-
dc.date.issued2022-
dc.identifier.citationProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), p. 142-157-
dc.identifier.urihttp://hdl.handle.net/10722/319948-
dc.languageeng-
dc.publisherAssociation for Computational Linguistics. -
dc.relation.ispartofProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)-
dc.titleTowards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation-
dc.typeConference_Paper-
dc.identifier.emailPan, J: jpan@cs.hku.hk-
dc.identifier.authorityPan, J=rp01984-
dc.identifier.authorityWang, WP=rp00186-
dc.identifier.doi10.18653/v1/2022.acl-long.12-
dc.identifier.hkuros338683-
dc.identifier.spage142-
dc.identifier.epage157-
dc.publisher.placeStroudsburg, PA, USA-

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