This paper presents a transcription and annotation scheme introduced specifically for L1 and L2 continuous data of Swiss German Sign Language, with potential applicability to other sign languages. The scheme includes a novel way of annotating linguistic errors in L2 data, thereby contributing to a deeper understanding of sign language learning. An initial validation approach is outlined, revealing challenges and underscoring the necessity for a more comprehensive method for validating sign language (learner) data. The paper emphasizes the overarching goal of achieving interoperability among sign language corpora and research groups, particularly in advancing sign language data validation techniques.
@inproceedings{battisti:24019:sign-lang:lrec,
author = {Battisti, Alessia and Tissi, Katja and Sidler-Miserez, Sandra and Ebling, Sarah},
title = {Advancing Annotation for Continuous Data in {Swiss} {German} {Sign} {Language}},
pages = {163--174},
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-COLING} 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources},
maintitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC-COLING} 2024)},
publisher = {{ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)}},
address = {Torino, Italy},
day = {25},
month = may,
year = {2024},
isbn = {978-2-493814-30-2},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/24019.pdf}
}