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, 34 (1). pp. 1-20. ISSN 0922-6567

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Item Type: Article
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© 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:
  • Published: April 2020
  • Published (online): 9 January 2020
  • Accepted: 22 November 2019
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: 02 Dec 2021 11:55
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s10590-019-09242-9
Open Archives Initiative ID (OAI ID):

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