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Leveraging backtranslation to improve machine translation for Gaelic language

Dowling, Meghan orcid logoORCID: 0000-0003-1637-4923, Lynn, Teresa and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2019) Leveraging backtranslation to improve machine translation for Gaelic language. In: Third Celtic Language Technology Workshop 2019, 19-23 Aug 2019, Dublin, Ireland.

Abstract
Irish and Scottish Gaelic are similar but distinct languages from the Celtic language family. Both languages are underresourced in terms of machine translation (MT), with Irish being the better resourced. In this paper, we show how backtranslation can be used to harness the resources of these similar low-resourced languages and build a Scottish-Gaelic to English MT system with little or no highquality bilingual data.
Metadata
Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Scottish Gaelic; GD; Irish; GA; Gaeilge; minority languages
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: Proceedings of the Third Celtic Language Technology Workshop. . ACL Anthology.
Publisher:ACL Anthology
Official URL:https://www.aclweb.org/anthology/W19-6908.pdf
Copyright Information:© 2019 The Authors. This article is licensed under a Creative Commons 4.0 licence, no derivative works, attribution, CCBY-ND.
Funders:Science Foundation Ireland in the ADAPT Centre (Grant 13/RC/2106) at Dublin City University, Irish Government Department of Culture, Heritage and the Gaeltacht
ID Code:23599
Deposited On:26 Jul 2019 11:37 by Thomas Murtagh . Last Modified 18 Oct 2019 10:56
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