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.
Vadim Kimmelman, Ari Price, Josefina Safar, Connie de Vos, Jan Bulla. 2024. Nonmanual Marking of Questions in Balinese Homesign Interactions: a Computer-Vision Assisted Analysis. In Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources, pages 71–80, Torino, Italy. ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL).
BibTeX Export
@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}
}