Using Contemporary US Government Data to Train Custom MT for COVID-19

Achim Ruopp


Anthology ID:
2020.amta-user.28
Volume:
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)
Month:
October
Year:
2020
Address:
Virtual
Editors:
Janice Campbell, Dmitriy Genzel, Ben Huyck, Patricia O’Neill-Brown
Venue:
AMTA
SIG:
Publisher:
Association for Machine Translation in the Americas
Note:
Pages:
577–592
Language:
URL:
https://aclanthology.org/2020.amta-user.28
DOI:
Bibkey:
Cite (ACL):
Achim Ruopp. 2020. Using Contemporary US Government Data to Train Custom MT for COVID-19. In Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track), pages 577–592, Virtual. Association for Machine Translation in the Americas.
Cite (Informal):
Using Contemporary US Government Data to Train Custom MT for COVID-19 (Ruopp, AMTA 2020)
Copy Citation:
Presentation:
 2020.amta-user.28.Presentation.pdf