EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media

Senja Pollak; Andraž Pelicon

EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media

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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)
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PDF:: https://aclanthology.org/2022.eamt-1.36.pdf

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@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

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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.