Abstract
EMBEDDIA project developed a range of resources and methods for less-resourced EU languages, focusing on applications for media industry, including keyword extraction, comment moderation and article generation.- Anthology ID:
- 2022.eamt-1.36
- 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:
- 293–294
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.36
- DOI:
- Bibkey:
- Cite (ACL):
- Senja Pollak and Andraž Pelicon. 2022. EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 293–294, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media (Pollak & Pelicon, EAMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.36.pdf
Export citation
@inproceedings{pollak-pelicon-2022-embeddia,
title = "{EMBEDDIA} project: Cross-Lingual Embeddings for Less- Represented Languages in {E}uropean News Media",
author = "Pollak, Senja and
Pelicon, Andra{\v{z}}",
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-1.36",
pages = "293--294",
abstract = "EMBEDDIA project developed a range of resources and methods for less-resourced EU languages, focusing on applications for media industry, including keyword extraction, comment moderation and article generation.",
}
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%0 Conference Proceedings %T EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media %A Pollak, Senja %A Pelicon, Andraž %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 pollak-pelicon-2022-embeddia %X EMBEDDIA project developed a range of resources and methods for less-resourced EU languages, focusing on applications for media industry, including keyword extraction, comment moderation and article generation. %U https://aclanthology.org/2022.eamt-1.36 %P 293-294
Markdown (Informal)
[EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media](https://aclanthology.org/2022.eamt-1.36) (Pollak & Pelicon, EAMT 2022)
- EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media (Pollak & Pelicon, EAMT 2022)
ACL
- Senja Pollak and Andraž Pelicon. 2022. EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 293–294, Ghent, Belgium. European Association for Machine Translation.