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SMT versus NMT: preliminary comparisons for Irish

Dowling, Meghan orcid logoORCID: 0000-0003-1637-4923, Lynn, Teresa, Poncelas, Alberto and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2018) SMT versus NMT: preliminary comparisons for Irish. In: AMTA 2018 Workshop: LoResMT 2018, 17-21 Mar 2018, Boston, MA. USA.

Abstract
In this paper, we provide a preliminary comparison of statistical machine translation (SMT) and neural machine translation (NMT) for English→Irish in the fixed domain of public administration. We discuss the challenges for SMT and NMT of a less-resourced language such as Irish, and show that while an out-of-the-box NMT system may not fare quite as well as our tailor-made domain-specific SMT system, the future may still be promising for EN→GA NMT
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Liu, Chao-Hong, (ed.) Proceedings of AMTA 2018 Workshop: LoResMT 2018. . Association for Machine Translation in the Americas (AMTA).
Publisher:Association for Machine Translation in the Americas (AMTA)
Official URL:https://www.aclweb.org/anthology/W18-2202
Copyright Information:© 2018 the Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Department of Culture, Heritage and the Gaeltacht (DCHG), ADAPT Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/2016) and is co-funded by the European Regional Development Fund.
ID Code:23371
Deposited On:28 May 2019 15:51 by Thomas Murtagh . Last Modified 22 Jan 2021 14:22
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