Motion Capture Analysis of Verb and Adjective Types in Austrian Sign Language
<|reference_start|>Motion Capture Analysis of Verb and Adjective Types in Austrian Sign Language: Across a number of sign languages, temporal and spatial characteristics of dominant hand articulation are used to express semantic and grammatical features. In this study of Austrian Sign Language (\"Osterreichische Geb\"ardensprache, or \"OGS), motion capture data of four Deaf signers is used to quantitatively characterize the kinematic parameters of sign production in verbs and adjectives. We investigate (1) the difference in production between verbs involving a natural endpoint (telic verbs; e.g. arrive) and verbs lacking an endpoint (atelic verbs; e.g. analyze), and (2) adjective signs in intensified vs. non-intensified (plain) forms. Motion capture data analysis using linear-mixed effects models (LME) indicates that both the endpoint marking in verbs, as well as marking of intensification in adjectives, are expressed by movement modulation in \"OGS. While the semantic distinction between verb types (telic/atelic) is marked by higher peak velocity and shorter duration for telic signs compared to atelic ones, the grammatical distinction (intensification) in adjectives is expressed by longer duration for intensified compared to non-intensified adjectives. The observed individual differences of signers might be interpreted as personal signing style.<|reference_end|>
@article{krebs2024motion,
    title={Motion Capture Analysis of Verb and Adjective Types in Austrian Sign
  Language},
    author={Julia Krebs, Evie Malaia, Ronnie B. Wilbur, Isabella Fessl, Hans-Peter
  Wiesinger, Hermann Schwameder, Dietmar Roehm},
    journal={Proc of the International Conference on Computational Linguistics
  (2024)},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.05161},
    primaryClass={cs.CL q-bio.NC}
}