Correct Metadata for
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
Export citation
@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://aclanthology.org/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."
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%0 Conference Proceedings %T Monitio - Large Scale MT for Multilingual Media Monitoring %A Amaral, Carlos %A Miranda, Sebastião %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation %D 2022 %8 June %I European Association for Machine Translation %C Ghent, Belgium %F amaral-ao-miranda-2022-monitio %X 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. %U https://aclanthology.org/2022.eamt-1.71/ %P 363-364
Markdown (Informal)
[Monitio - Large Scale MT for Multilingual Media Monitoring](https://aclanthology.org/2022.eamt-1.71/) (Amaral & Miranda, EAMT 2022)
- Monitio - Large Scale MT for Multilingual Media Monitoring (Amaral & Miranda, EAMT 2022)
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.