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DELA Project: Document-level Machine Translation Evaluation

Sheila Castilho


Abstract
This paper presents the results of the DELA Project. We describe the testing of context span for document-level evaluation, construction of a document-level corpus, and context position, as well as the latest developments of the project when looking at human and automatic evaluation metrics for document-level evaluation.
Anthology ID:
2022.eamt-1.50
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:
321–322
Language:
URL:
https://aclanthology.org/2022.eamt-1.50
DOI:
Bibkey:
Cite (ACL):
Sheila Castilho. 2022. DELA Project: Document-level Machine Translation Evaluation. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 321–322, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
DELA Project: Document-level Machine Translation Evaluation (Castilho, EAMT 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.eamt-1.50.pdf