Dowling, Meghan ORCID: 0000-0003-1637-4923, Lynn, Teresa, Poncelas, Alberto and Way, Andy ORCID: 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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