@inproceedings{amaral-ao-miranda-2022-monitio,
title = "Monitio - Large Scale {MT} for Multilingual Media Monitoring",
author = "Amaral, Carlos and
Miranda, Sebasti{\~a}o",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.eamt-1.71/",
pages = "363--364",
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."
}
Markdown (Informal)
[Monitio - Large Scale MT for Multilingual Media Monitoring](https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.eamt-1.71/) (Amaral & Miranda, EAMT 2022)
ACL