Dynamic adaptation of neural machine-translation systems through translation exemplars

Authors :: Arda Tezcan
Macken, Lieve
Rufener, Andrew
Van den Bogaert, Joachim
Daems, Joke
Tezcan, Arda
Vanroy, Bram
Fonteyne, Margot
Barrault, Loïc
Costa-jussà, Marta R.
Kemp, Ellie
Pilos, Spyridon
Declercq, Christophe
Koponen, Maarit
Forcada, Mikel L.
Scarton, Carolina
Moniz, Helena
Source :: Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, Arda Tezcan
Publication Year :: 2022
Publisher :: European Association for Machine Translation, 2022.
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.

Subjects :: lt3
translation memories
Languages and Literatures
neural machine translation

Language :: English
ISBN :: 978-94-6459-762-2
ISBNs :: 9789464597622
Database :: OpenAIRE
Journal :: Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, Arda Tezcan
Accession number :: edsair.dedup.wf.001..2bfd669ad683f38841fd204ba4605431

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