CorCoDial - Machine translation techniques for corpus-based computational dialectology

Yves Scherrer, Olli Kuparinen, Aleksandra Miletic


Abstract
This paper presents CorCoDial, a research project funded by the Academy of Finland aiming to leverage machine translation technology for corpus-based computational dialectology. In this paper, we briefly present intermediate results of our project-related research.
Anthology ID:
2023.eamt-1.58
Volume:
Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2023
Address:
Tampere, Finland
Editors:
Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartín, Mikel Forcada, Maja Popovic, Carolina Scarton, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
511–512
Language:
URL:
https://aclanthology.org/2023.eamt-1.58
DOI:
Bibkey:
Cite (ACL):
Yves Scherrer, Olli Kuparinen, and Aleksandra Miletic. 2023. CorCoDial - Machine translation techniques for corpus-based computational dialectology. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, pages 511–512, Tampere, Finland. European Association for Machine Translation.
Cite (Informal):
CorCoDial - Machine translation techniques for corpus-based computational dialectology (Scherrer et al., EAMT 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.eamt-1.58.pdf