- Anthology ID:
- 2022.eamt-1.1
- Volume:
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2022
- Address:
- Ghent, Belgium
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 5–6
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.1
- DOI:
- Bibkey:
- Cite (ACL):
- Maha Elbayad. 2022. Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 5–6, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation (Elbayad, EAMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.1.pdf
Export citation
@inproceedings{elbayad-2022-rethinking,
title = "Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation",
author = "Elbayad, Maha",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"\i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.1",
pages = "5--6",
}
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%0 Conference Proceedings %T Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation %A Elbayad, Maha %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation %D 2022 %8 June %I European Association for Machine Translation %C Ghent, Belgium %F elbayad-2022-rethinking %U https://aclanthology.org/2022.eamt-1.1 %P 5-6
Markdown (Informal)
[Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation](https://aclanthology.org/2022.eamt-1.1) (Elbayad, EAMT 2022)
- Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation (Elbayad, EAMT 2022)
ACL
- Maha Elbayad. 2022. Rethinking the Design of Sequence-to-Sequence Models for Efficient Machine Translation. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 5–6, Ghent, Belgium. European Association for Machine Translation.