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DGS-BIGEKO: A Dataset for Hypothetical Emergency Scenarios in German Sign Language

Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion

DOI:10.63317/2kkcv47dtm53

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: https://doi.org/10.5281/zenodo.18458557

Details

Paper ID
lrec2026-ws-signlang-32
Pages
pp. 306-314
BibKey
lunajimenez-etal-2026-dgs
Editors
Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Johanna Mesch, Marc Schulder
Publisher
European Language Resources Association (ELRA)
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
Location
Palma, Mallorca, Spain
Date
11 - 16 May 2026

Authors

  • CL

    Cristina Luna Jimenez

  • LE

    Lennart Eing

  • DS

    Daksitha Senel Withanage Don

  • MG

    Marco González

  • FN

    Fabrizio Nunnari

  • PP

    Pamela Perniss

  • PG

    Patrick Gebhard

  • EA

    Elisabeth Andre

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