Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
1 file | 520.30 KB
Add to list
  1. Search results
  2. MultiGED-2023 shared task at NLP4CALL...

MultiGED-2023 shared task at NLP4CALL : Multilingual Grammatical Error Detection

Elena Volodina, Christopher Bryant, Andrew Caines, Orphée De Clercq (UGent) , Jennifer-Carmen Frey, Elizaveta Ershova, Alexandr Rosen and Olga Vinogradova
(2023) Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning. In Linköping Electronic Conference Proceedings 197. p.1-16
Author
Organization
Abstract
This paper reports on the NLP4CALL shared task on Multilingual Grammatical Error Detection (MultiGED-2023), which included five languages: Czech, English, German, Italian and Swedish. It is the first shared task organized by the Computational SLA1 working group, whose aim is to promote less represented languages in the fields of Grammatical Error Detection and Correction, and other related fields. The MultiGED datasets have been produced based on second language (L2) learner corpora for each particular language. In this paper we introduce the task as a whole, elaborate on the dataset generation process and the design choices made to obtain MultiGED datasets, provide details of the evaluation metrics and CodaLab setup. We further briefly describe the systems used by participants and report the results.

Downloads

  • Download
    2023.nlp4call-1.1.pdf
    • full text (Published version)
    • |
    • open access
    • |
    • PDF
    • |
    • 520.30 KB

Citation

Please use this url to cite or link to this publication:

MLA
Volodina, Elena, et al. “MultiGED-2023 Shared Task at NLP4CALL : Multilingual Grammatical Error Detection.” Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, vol. 197, LiU Electronic Press, 2023, pp. 1–16.
APA
Volodina, E., Bryant, C., Caines, A., De Clercq, O., Frey, J.-C., Ershova, E., … Vinogradova, O. (2023). MultiGED-2023 shared task at NLP4CALL : Multilingual Grammatical Error Detection. Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, 197, 1–16. LiU Electronic Press.
Chicago author-date
Volodina, Elena, Christopher Bryant, Andrew Caines, Orphée De Clercq, Jennifer-Carmen Frey, Elizaveta Ershova, Alexandr Rosen, and Olga Vinogradova. 2023. “MultiGED-2023 Shared Task at NLP4CALL : Multilingual Grammatical Error Detection.” In Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, 197:1–16. LiU Electronic Press.
Chicago author-date (all authors)
Volodina, Elena, Christopher Bryant, Andrew Caines, Orphée De Clercq, Jennifer-Carmen Frey, Elizaveta Ershova, Alexandr Rosen, and Olga Vinogradova. 2023. “MultiGED-2023 Shared Task at NLP4CALL : Multilingual Grammatical Error Detection.” In Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, 197:1–16. LiU Electronic Press.
Vancouver
1.
Volodina E, Bryant C, Caines A, De Clercq O, Frey J-C, Ershova E, et al. MultiGED-2023 shared task at NLP4CALL : Multilingual Grammatical Error Detection. In: Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning. LiU Electronic Press; 2023. p. 1–16.
IEEE
[1]
E. Volodina et al., “MultiGED-2023 shared task at NLP4CALL : Multilingual Grammatical Error Detection,” in Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, Tórshavn, Faroe Islands, 2023, vol. 197, pp. 1–16.
@inproceedings{01H3YB0YYJKFW4XFSGYZ7AT91D,
  abstract     = {{This paper reports on the NLP4CALL shared task on Multilingual Grammatical Error Detection (MultiGED-2023), which included five languages: Czech, English, German, Italian and Swedish. It is the first shared task organized by the Computational SLA1 working group, whose aim is to promote less represented languages in the fields of Grammatical Error Detection and Correction, and other related fields. The MultiGED datasets have been produced based on second language (L2) learner corpora for each particular language. In this paper we introduce the task as a whole, elaborate on the dataset generation process and the design choices made to obtain MultiGED datasets, provide details of the evaluation metrics and CodaLab setup. We further briefly describe the systems used by participants and report the results.}},
  author       = {{Volodina, Elena and Bryant, Christopher and Caines, Andrew and De Clercq, Orphée and Frey, Jennifer-Carmen and Ershova, Elizaveta and Rosen, Alexandr and Vinogradova, Olga}},
  booktitle    = {{Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning}},
  isbn         = {{9789180752503}},
  issn         = {{1650-3686}},
  language     = {{eng}},
  location     = {{Tórshavn, Faroe Islands}},
  pages        = {{1--16}},
  publisher    = {{LiU Electronic Press}},
  title        = {{MultiGED-2023 shared task at NLP4CALL : Multilingual Grammatical Error Detection}},
  url          = {{https://aclanthology.org/2023.nlp4call-1.1}},
  volume       = {{197}},
  year         = {{2023}},
}