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https://doi.org/10.21256/zhaw-19012| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019 |
| Autor/-in: | Benites de Azevedo e Souza, Fernando von Däniken, Pius Cieliebak, Mark |
| et. al: | No |
| DOI: | 10.18653/v1/W19-1421 10.21256/zhaw-19012 |
| Tagungsband: | Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects |
| Seite(n): | 194 |
| Seiten bis: | 201 |
| Angaben zur Konferenz: | 6th Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial 2019, Minneapolis, United States, 7 June 2019 |
| Erscheinungsdatum: | Jun-2019 |
| Verlag / Hrsg. Institution: | Association for Computational Linguistics |
| Verlag / Hrsg. Institution: | Ann Arbor |
| ISBN: | 978-1-950737-11-6 |
| Sprache: | Englisch |
| Fachgebiet (DDC): | 410.285: Computerlinguistik |
| Zusammenfassung: | We describe our approaches for the German Dialect Identification (GDI) and the Cuneiform Language Identification (CLI) tasks at the VarDial Evaluation Campaign 2019. The goal was to identify dialects of Swiss German in GDI and Sumerian and Akkadian in CLI. In GDI, the system should distinguish four dialects from the German-speaking part of Switzerland. Our system for GDI achieved third place out of 6 teams, with a macro averaged F-1 of 74.6%. In CLI, the system should distinguish seven languages written in cuneiform script. Our system achieved third place out of 8 teams, with a macro averaged F-1 of 74.7%. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19012 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| W19-1421.pdf | 278.45 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Benites de Azevedo e Souza, F., von Däniken, P., & Cieliebak, M. (2019). TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019 [Conference paper]. Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, 194–201. https://doi.org/10.18653/v1/W19-1421
Benites de Azevedo e Souza, F., von Däniken, P. and Cieliebak, M. (2019) ‘TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019’, in Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects. Ann Arbor: Association for Computational Linguistics, pp. 194–201. Available at: https://doi.org/10.18653/v1/W19-1421.
F. Benites de Azevedo e Souza, P. von Däniken, and M. Cieliebak, “TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019,” in Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, Jun. 2019, pp. 194–201. doi: 10.18653/v1/W19-1421.
BENITES DE AZEVEDO E SOUZA, Fernando, Pius VON DÄNIKEN und Mark CIELIEBAK, 2019. TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019. In: Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects. Conference paper. Ann Arbor: Association for Computational Linguistics. Juni 2019. S. 194–201. ISBN 978-1-950737-11-6
Benites de Azevedo e Souza, Fernando, Pius von Däniken, and Mark Cieliebak. 2019. “TwistBytes - Identification of Cuneiform Languages and German Dialects at VarDial 2019.” Conference paper. In Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, 194–201. Ann Arbor: Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-1421.
Benites de Azevedo e Souza, Fernando, et al. “TwistBytes - Identification of Cuneiform Languages and German Dialects at VarDial 2019.” Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, Association for Computational Linguistics, 2019, pp. 194–201, https://doi.org/10.18653/v1/W19-1421.
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