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BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation

Vincent Vandeghinste, Bob Van Dyck, Mathieu De Coster (UGent) , Maud Goddefroy and Joni Dambre (UGent)
(2022) COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL. 12. p.7-17
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Abstract
We are presenting the Belgian Federal COVID-19 corpus, nicknamed the BeCoS (Belgian Covid Sign language) corpus. It consists of the entire archive of official press conferences from the Belgian Federal Government concerning the COVID-19 pandemic. The speakers speak mostly in Dutch or French and occasionally in German, and nearly all speech is accompanied by a deaf signer who performs live interpreting from what is being said. We have preprocessed the corpus with speaker diarisation, applied Belgian Dutch ASR, and post-ASR language identification and punctuation prediction as well as signer diarisation, sign language identification and sign language keypoint recognition. The corpus is made publicly available.

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Citation

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MLA
Vandeghinste, Vincent, et al. “BeCoS Corpus : Belgian Covid-19 Sign Language Corpus : A Corpus for Training Sign Language Recognition and Translation.” COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL, vol. 12, 2022, pp. 7–17.
APA
Vandeghinste, V., Van Dyck, B., De Coster, M., Goddefroy, M., & Dambre, J. (2022). BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation. COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL, 12, 7–17.
Chicago author-date
Vandeghinste, Vincent, Bob Van Dyck, Mathieu De Coster, Maud Goddefroy, and Joni Dambre. 2022. “BeCoS Corpus : Belgian Covid-19 Sign Language Corpus : A Corpus for Training Sign Language Recognition and Translation.” COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL 12: 7–17.
Chicago author-date (all authors)
Vandeghinste, Vincent, Bob Van Dyck, Mathieu De Coster, Maud Goddefroy, and Joni Dambre. 2022. “BeCoS Corpus : Belgian Covid-19 Sign Language Corpus : A Corpus for Training Sign Language Recognition and Translation.” COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL 12: 7–17.
Vancouver
1.
Vandeghinste V, Van Dyck B, De Coster M, Goddefroy M, Dambre J. BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation. COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL. 2022;12:7–17.
IEEE
[1]
V. Vandeghinste, B. Van Dyck, M. De Coster, M. Goddefroy, and J. Dambre, “BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation,” COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL, vol. 12, pp. 7–17, 2022.
@article{01GP37D6W8299E7AE1YVZGDV5S,
  abstract     = {{We are presenting the Belgian Federal COVID-19 corpus, nicknamed the BeCoS (Belgian Covid Sign language) corpus. It consists of the entire archive of official press conferences from the Belgian Federal Government concerning the COVID-19 pandemic. The speakers speak mostly in Dutch or French and occasionally in German, and nearly all speech is accompanied by a deaf signer who performs live interpreting from what is being said. We have preprocessed the corpus with speaker diarisation, applied Belgian Dutch ASR, and post-ASR language identification and punctuation prediction as well as signer diarisation, sign language identification and sign language keypoint recognition. The corpus is made publicly available.}},
  author       = {{Vandeghinste, Vincent and Van Dyck, Bob and De Coster, Mathieu and Goddefroy, Maud and Dambre, Joni}},
  issn         = {{2211-4009}},
  journal      = {{COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL}},
  language     = {{eng}},
  pages        = {{7--17}},
  title        = {{BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation}},
  url          = {{https://www.clinjournal.org/clinj/article/view/144}},
  volume       = {{12}},
  year         = {{2022}},
}