English

Motion Capture Analysis of Verb and Adjective Types in Austrian Sign Language

Computation and Language 2024-09-16 v2 Neurons and Cognition

Abstract

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.

Keywords

Cite

@article{arxiv.2405.05161,
  title  = {Motion Capture Analysis of Verb and Adjective Types in Austrian Sign Language},
  author = {Julia Krebs and Evie Malaia and Ronnie B. Wilbur and Isabella Fessl and Hans-Peter Wiesinger and Hermann Schwameder and Dietmar Roehm},
  journal= {arXiv preprint arXiv:2405.05161},
  year   = {2024}
}

Comments

10 pages, 7 figures