MTCue: learning zero-shot control of extra-textual attributes by leveraging unstructured context in neural machine translation

Vincent, S., Flynn, R. and Scarton, C. orcid.org/0000-0002-0103-4072 (2023) MTCue: learning zero-shot control of extra-textual attributes by leveraging unstructured context in neural machine translation. In: Findings of the Association for Computational Linguistics: ACL 2023. Findings of the Association for Computational Linguistics: ACL 2023, 09-14 Jul 2023, Toronto, Canada. Association for Computational Linguistics , pp. 8210-8226. ISBN 9781959429623

Abstract

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Item Type: Proceedings Paper
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© 2023 ACL. Licensed on a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)

Keywords: Information and Computing Sciences; Machine Learning
Dates:
  • Published: July 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Feb 2024 14:58
Last Modified: 12 Feb 2024 14:58
Status: Published
Publisher: Association for Computational Linguistics
Refereed: Yes
Identification Number: 10.18653/v1/2023.findings-acl.521
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