Dynamic adaptation of neural machine-translation systems through translation exemplars
- Publication type
- C1
- Publication status
- Published
- Author
- Tezcan, A.
- Editor
- Lieve Macken, Andrew Rufener, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne, Loïc Barrault, Marta R. Costa-jussà, Ellie Kemp, Spyridon Pilos, Christophe Declercq, Maarit Koponen, Mikel L. Forcada, Carolina Scarton and Helena Moniz
- Series
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Pagination
- 283-284
- Publisher
- European Association for Machine Translation (Ghent, Belgium)
- Conference
- 23rd Annual Conference of the European Association for Machine Translation (Ghent, Belgium)
- Download
- (.pdf)
- View in Biblio
- (externe link)
Abstract
This project aims to study the impact of adapting neural machine translation (NMT) systems through translation exemplars, determine the optimal similarity metric(s) for retrieving informative exemplars, and, verify the usefulness of this approach for domain adaptation of NMT systems.