MT-Pese: Machine Translation and Post-Editese

Sheila Castilho, Natália Resende


Abstract
This paper introduces the MT-Pese project, which aims at researching the post-editese phenomena in machine translated texts. We describe a range of experiments performed in order to gauge the effect of post-editese in dif-ferent domains, backtranslation, and quality.
Anthology ID:
2022.eamt-1.42
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:
305–306
Language:
URL:
https://preview.aclanthology.org/build-pipeline-with-new-library/2022.eamt-1.42/
DOI:
Bibkey:
Cite (ACL):
Sheila Castilho and Natália Resende. 2022. MT-Pese: Machine Translation and Post-Editese. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 305–306, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
MT-Pese: Machine Translation and Post-Editese (Castilho & Resende, EAMT 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/build-pipeline-with-new-library/2022.eamt-1.42.pdf