Linked Open Data compliant Representation of the Interlinking of Nordic Wordnets and Sign Language Data

Thierry Declerck, Sussi Olsen


Abstract
We present ongoing work dealing with a Linked Open Data (LOD) compliant representation of Sign Language (SL) data, with the goal of supporting the cross-lingual linking of SL data, also to Spoken Language data. As the European EASIER research project has already investigated the use of Open Multilingual Wordnet (OMW) datasets for cross-linking German and Greek SL data, we propose a unified RDF-based representation of OMW and SL data. In this context, we experimented with the transformation into RDF of a rich dataset, which links Danish Sign Language data and the wordnet for Danish, DanNet. We extend this work to other Nordic languages, aiming at supporting cross-lingual comparisons of Nordic Sign Languages. This unified formal representation offers a semantic repository of information on SL data that could be accessed for supporting the creation of datasets for training or evaluating NLP applications that involve SLs.
Anthology ID:
2023.resourceful-1.9
Volume:
Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023)
Month:
May
Year:
2023
Address:
Tórshavn, the Faroe Islands
Editors:
Nikolai Ilinykh, Felix Morger, Dana Dannélls, Simon Dobnik, Beáta Megyesi, Joakim Nivre
Venue:
RESOURCEFUL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
62–69
Language:
URL:
https://aclanthology.org/2023.resourceful-1.9
DOI:
Bibkey:
Cite (ACL):
Thierry Declerck and Sussi Olsen. 2023. Linked Open Data compliant Representation of the Interlinking of Nordic Wordnets and Sign Language Data. In Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), pages 62–69, Tórshavn, the Faroe Islands. Association for Computational Linguistics.
Cite (Informal):
Linked Open Data compliant Representation of the Interlinking of Nordic Wordnets and Sign Language Data (Declerck & Olsen, RESOURCEFUL 2023)
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PDF:
https://aclanthology.org/2023.resourceful-1.9.pdf