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Synthesizing the finger alphabet of Swiss German Sign Language and evaluating the comprehensibility of the resulting animations

Type of publication Peer-reviewed
Publikationsform Other publication (peer-review)
Author Sarah Ebling Rosalee Wolfe Jerry Schnepp Souad Baowidan John McDonald Robyn Moncrief et al.,
Project Machine Translation and Animation Assessment for Swiss German Sign Language
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Other publication (peer-review)

Publisher -, peer-reviewed submission to workshop but no proceedings volume
ISBN -

Open Access

Abstract

This paper reports on work in synthesizing the finger alphabet of Swiss German Sign Language (Deutschschweizerische Gebardensprache, DSGS) as a first step towards a fingerspelling learning tool for this language. Sign language synthesis is an instance of automatic sign language processing, which in turn forms part of natural language processing (NLP). The contribution of this paper is twofold: Firstly, the process of creating a set of hand postures and transitions for the DSGS finger alphabet is explained, and secondly, the results of a study assessing the comprehensibility of the resulting animations are reported. The comprehension rate of the signing avatar was highly satisfactory at 90.06%.
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