Global Signbank - NGT
The dataset of NGTSign Language of the Netherlands in the Global Signbank was built on data from the ECHO Corpus, Corpus NGT and Handy Signs. The lexicon data is directly linked to the Corpus NGT. The database was built at Radboud University under the lead of Onno Crasborn. In 2023, responsibility for the NGT dataset and for changes in Global Signbank were transferred to the SignLab group at University of Amsterdam (Klomp et al., 2024).
The NGTSign Language of the Netherlands dataset is connected to Concepticon 
(List et al., 2021), a resource connecting different concept lists used in linguistic literature (see Börstell et al., 2020).
The software of Global Signbank was originally developed as an NGT Signbank fork of the original Auslan Signbank software that added features relevant to NGTSign Language of the Netherlands research. It was then further extended to support multiple languages, resulting in Global Signbank.
| Languages | Sign Language of the Netherlands, Dutch, English |
|---|---|
| Size | 7348 sign glosses, of which 6478 are public. |
| Linguistic Information | Glosses in Dutch and English, citation forms, translation into Dutch and English, disambiguation word combinations in Dutch, phonetic information |
| Licence | CC BY 4.0 |
| Access | Most signs are public accessible via homepage. Confirmed registered user can access additional data, mainly consisting of name signs and test items. |
| Webpage |
https://signbank.cls.ru.nl/datasets/NGT
|
| Institutions |
Radboud University
University of Amsterdam |
| Publications |
Crasborn et al. (2016)
Klomp et al. (2024) |
Cite as
Onno Crasborn, Richard Bank, Inge Zwitserlood, Els van der Kooij, Ellen Ormel, Johan Ros, Anique Schüller, Anne de Meijer, Merel van Zuilen, Yassine Ellen Nauta, Frouke van Winsum, & Max Vonk (2020) NGT dataset in Global Signbank. Nijmegen: Radboud University, Centre for Language Studies. ISLRN: 976-021-358-388-6, DOI: 10.13140/RG.2.1.2839.1446.
References
Primary references
- Carl Börstell, Onno Crasborn, Lori Whynot (2020). "Measuring Lexical Similarity across Sign Languages in Global Signbank". In: Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives (Marseille, France). Ed. by Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Jette Kristoffersen, Johanna Mesch. Paris, France: European Language Resources Association (ELRA), pp. 21-26. ISBN: 979-10-95546-54-2. ACL: 2020.signlang-1.4.
- Onno Crasborn, Richard Bank, Inge Zwitserlood, Els van der Kooij, Anique Schüller, Ellen Ormel, Ellen Yassine Nauta, Merel van Zuilen, Frouke van Winsum, Johan Ros (2016). "Linking Lexical and Corpus Data for Sign Languages: NGT Signbank and the Corpus NGT". In: Proceedings of the LREC2016 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining (Portorož, Slovenia). Ed. by Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Jette Kristoffersen, Johanna Mesch. Paris, France: European Language Resources Association (ELRA), pp. 41-46.
- Ulrika Klomp, Lisa Gierman, Pieter Manders, Ellen Yassine Nauta, Gomèr Otterspeer, Ray Pelupessy, Galya Stern, Dalene Venter, Casper Wubbolts, Marloes Oomen, Floris Roelofsen (2024). "An Extension of the NGT Dataset in Global Signbank". In: Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources (Torino, Italy). Ed. by Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Johanna Mesch, Marc Schulder. Paris, France: ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL), pp. 292-297. ISBN: 978-2-493814-30-2. ACL: 2024.signlang-1.19.
References to other works
- Johann Mattis List, Christoph Rzymski, Simon Greenhill, Nathanael Schweikhard, Kristina Pianykh, Annika Tjuka, Carolin Hundt, Robert Forkel (2021). "CLLD Concepticon 2.5.0". Dataset. DOI: 10.5281/zenodo.4911605.
This entry was last modified on 7 March 2025.