MTrill: Machine Translation Impact on Language Learning

Natalia Resende


Abstract
This paper presents the MTrill project which aimed at investigating the impact of popular web-based machine transla-tion (MT) tools on the cognitive pro-cessing of English as a second language. The methodological approach and main results are presented.
Anthology ID:
2022.eamt-1.55
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:
331–332
Language:
URL:
https://aclanthology.org/2022.eamt-1.55
DOI:
Bibkey:
Cite (ACL):
Natalia Resende. 2022. MTrill: Machine Translation Impact on Language Learning. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 331–332, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
MTrill: Machine Translation Impact on Language Learning (Resende, EAMT 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.eamt-1.55.pdf