Global Signbank - NGT
The dataset of NGT 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.
The Sign 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 Sign Language of the Netherlands Signbank fork of the original Auslan Signbank software that added features relevant to Sign 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 | 4167 signs |
| Linguistic Information | Glosses in Dutch and English, citation forms, translation into Dutch and English, disambiguation word combinations in Dutch, phonetic information |
| Licence | CC BY-NC-SA 4.0 |
| Access | 3950 signs public accessible via homepage, confirmed registered user can access more data |
| Webpage | https://signbank.science.ru.nl/datasets/NGT |
| Institution | Radboud University |
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.
Articles mentioned above
- 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.
- 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 10 January 2023.