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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2022.eamt-1.36.pdf