@inproceedings{luna-jimenez-etal-2026-dgs,
title = "{DGS}-{BIGEKO}: A Dataset for Hypothetical Emergency Scenarios in {G}erman {S}ign {L}anguage",
author = "Luna Jimenez, Cristina and
Eing, Lennart and
Senel Withanage Don, Daksitha and
Gonz{\'a}lez, Marco and
Nunnari, Fabrizio and
Perniss, Pamela and
Gebhard, Patrick and
Andre, Elisabeth",
editor = "Efthimiou, Eleni and
Fotinea, Stavroula-Evita and
Hanke, Thomas and
Hochgesang, Julie A. and
Mesch, Johanna and
Schulder, Marc",
booktitle = "Proceedings of the {LREC} 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.signlang-1.32/",
doi = "10.63317/2kkcv47dtm53",
pages = "306--314",
abstract = "In this article, we describe DGS-BIGEKO, a sign language dataset containing a conversation in a crisis scenario signed by a professional interpreter in German Sign Language (DGS). The dataset comprises 14 sentences with common questions and answers from protocols occurring in emergency call scenarios translated into DGS. Additionally, the dataset contains signs for an additional 108 concepts that are relevant to emergency call scenarios. The dataset is intended to support research in sign language linguistics and sign language machine translation by providing resources in a very specific domain, where no previous resources are available in DGS. The dataset is freely available for research purposes at the following address: \url{https://doi.org/10.5281/zenodo.18458557}"
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%0 Conference Proceedings
%T DGS-BIGEKO: A Dataset for Hypothetical Emergency Scenarios in German Sign Language
%A Luna Jimenez, Cristina
%A Eing, Lennart
%A Senel Withanage Don, Daksitha
%A González, Marco
%A Nunnari, Fabrizio
%A Perniss, Pamela
%A Gebhard, Patrick
%A Andre, Elisabeth
%Y Efthimiou, Eleni
%Y Fotinea, Stavroula-Evita
%Y Hanke, Thomas
%Y Hochgesang, Julie A.
%Y Mesch, Johanna
%Y Schulder, Marc
%S Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F luna-jimenez-etal-2026-dgs
%X In this article, we describe DGS-BIGEKO, a sign language dataset containing a conversation in a crisis scenario signed by a professional interpreter in German Sign Language (DGS). The dataset comprises 14 sentences with common questions and answers from protocols occurring in emergency call scenarios translated into DGS. Additionally, the dataset contains signs for an additional 108 concepts that are relevant to emergency call scenarios. The dataset is intended to support research in sign language linguistics and sign language machine translation by providing resources in a very specific domain, where no previous resources are available in DGS. The dataset is freely available for research purposes at the following address: https://doi.org/10.5281/zenodo.18458557
%R 10.63317/2kkcv47dtm53
%U https://aclanthology.org/2026.signlang-1.32/
%U https://doi.org/10.63317/2kkcv47dtm53
%P 306-314
Markdown (Informal)
[DGS-BIGEKO: A Dataset for Hypothetical Emergency Scenarios in German Sign Language](https://aclanthology.org/2026.signlang-1.32/) (Luna Jimenez et al., SignLang 2026)
ACL
- Cristina Luna Jimenez, Lennart Eing, Daksitha Senel Withanage Don, Marco González, Fabrizio Nunnari, Pamela Perniss, Patrick Gebhard, and Elisabeth Andre. 2026. DGS-BIGEKO: A Dataset for Hypothetical Emergency Scenarios in German Sign Language. In Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion, pages 306–314, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).