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English to Irish machine translation with automatic post-editing

Dowling, Meghan orcid logoORCID: 0000-0003-1637-4923, Lynn, Teresa, Graham, Yvette and Judge, John (2016) English to Irish machine translation with automatic post-editing. In: Second Celtic Language Technology Workshop 2016, 4 July 2016, Paris, France.

Cet article présente l’adaptation d’un système de traduction automatique statistique, anglais→irlandais, à un nouveau domain d’utilisation. Ce système nommé est actuellement utilisé par une équipe de traducteurs du gouvernement irlandais. Nous décrivons également le nouveau module de post-édition automatique qui a été développé pour améliorer le système actuel et faciliter le travail de post-édition des traducteurs. This paper reports on the continued development of a domain-tailored English→Irish Statistical Machine Translation system currently in use by an in-house translation team of an Irish government department. We describe the new automatic post-editing module that has been developed to enhance the current system and reduce the post-editing required of translators.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Traduction automatique statistique; Post-édition automatique; langue morphologiquement riche; langue irlandaise; statistical machine translation; automatic post-editing; morphologically rich language; Irish language
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
Copyright Information:© 2016 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Department of Arts, Heritage and the Gaeltacht (DAHG), European Union Horizon 2020 research and innovation programme under grant agreement 645452 (QT21), 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:23606
Deposited On:31 Jul 2019 15:14 by Thomas Murtagh . Last Modified 12 Aug 2020 17:25

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