In recent years, both linguistic resources and computer-based tools have been developed that make it possible to investigate research questions that have not been studied before. In this study, we conduct a study of nonmanual question marking, using data from the Balinese Homesign Corpus – a unique resource documenting language use in several Balinese homesigners. We further demonstrate how using OpenFace, a Computer-Vision solution, allows for quantitative analysis of head tilts used by these signers in marking questions. We also showcase a pilot statistical analysis of the dynamic kinetic contours of the head movements.
@inproceedings{kimmelman:24009:sign-lang:lrec,
author = {Kimmelman, Vadim and Price, Ari and Safar, Josefina and de Vos, Connie and Bulla, Jan},
title = {Nonmanual Marking of Questions in {Balinese} Homesign Interactions: a Computer-Vision Assisted Analysis},
pages = {71--80},
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/24009.pdf}
}