Monitio - Large Scale MT for Multilingual Media Monitoring

Carlos Amaral, Sebastião Miranda


Abstract
Monitio is a real-time crosslingual global media monitoring platform which delivers actionable insights beyond human scale and capabilities. Our system continuously ingests a massive number of multilingual data sources that are automatically translated, filtered and categorized to generate intelligence reports specially geared towards media monitoring professionals’ needs.
Anthology ID:
2022.eamt-1.71
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:
363–364
Language:
URL:
https://aclanthology.org/2022.eamt-1.71
DOI:
Bibkey:
Cite (ACL):
Carlos Amaral and Sebastião Miranda. 2022. Monitio - Large Scale MT for Multilingual Media Monitoring. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 363–364, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
Monitio - Large Scale MT for Multilingual Media Monitoring (Amaral & Miranda, EAMT 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.eamt-1.71.pdf