Addressing data sparsity for neural machine translation between morphologically rich languages

García-Martínez, M., Aransa, W., Bougares, F. et al. (1 more author) (2020) Addressing data sparsity for neural machine translation between morphologically rich languages. Machine Translation. ISSN 0922-6567

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Copyright, Publisher and Additional Information: © 2020 Springer Nature B.V. This is an author-produced version of a paper subsequently published in Machine Translation. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Neural machine translation; Factored models; Deep learning
Dates:
  • Accepted: 22 November 2019
  • Published (online): 9 January 2020
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: 27 Mar 2020 14:28
Last Modified: 09 Jan 2021 01:38
Status: Published online
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1007/s10590-019-09242-9

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