Dowling, Meghan ORCID: 0000-0003-1637-4923, Cassidy, Lauren, Maguire, Eimear, Lynn, Teresa, Srivastava, Ankit Kumar and Judge, John (2015) Tapadoir: developing a statistical machine translation engine and associated resources for Irish. In: 4th Biennial Workshop on Less-Resourced Languages (LRC 2015), 28 Nov 2015, Poznan, Poland.
Abstract
Tapadoir (from the Irish ´ tapa ‘fast’ and the nominal suffix -oir ´ ) is a statistical machine translation (SMT) project, funded by the Irish
government. This work was commissioned to help government translators meet the translation demands which have arisen from the
Irish language’s status as an official EU and national language. The development of this system, which translates English into Irish (a
morphologically rich, low-resourced minority language), has produced an interesting set of challenges. These challenges have inspired
a creative response to the lack of data and NLP tools available for the Irish language and have also resulted in the development of new
resources for the Irish linguistic and NLP community. We show that our SMT system out-performs Google TranslateTM (a widely used
general-domain SMT system) as a result of steps we have taken to tailor translation output to the user’s specific needs.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > ADAPT |
Copyright Information: | © 2015 the Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 23605 |
Deposited On: | 31 Jul 2019 15:14 by Thomas Murtagh . Last Modified 18 Feb 2022 16:45 |
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