Applying the Transcription System Typannot to Mouth Gestures

Claire Danet, Chloé Thomas, Adrien Contesse, Morgane Rébulard, Claudia S. Bianchini, Léa Chevrefils, Patrick Doan


Abstract
Research on sign languages (SLs) requires dedicated, efficient and comprehensive transcription systems to analyze and compare the sign parameters; at present, many transcription systems focus on manual parameters, relegating the non‐manual component to a lesser role. This article presents Typannot, a formal transcription system, and in particular its application to mouth gestures: 1) first, exposing its kinesiological approach, i.e. an intrinsic articulatory description anchored in the body; 2) then, showing its conception to integrate linguistic, graphic and technical aspects within a typeface; 3) finally, presenting its application to a corpus in French Sign Language (LSF) recorded with motion capture.
Anthology ID:
2022.signlang-1.7
Volume:
Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
SignLang
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
42–47
Language:
URL:
https://aclanthology.org/2022.signlang-1.7
DOI:
Bibkey:
Cite (ACL):
Claire Danet, Chloé Thomas, Adrien Contesse, Morgane Rébulard, Claudia S. Bianchini, Léa Chevrefils, and Patrick Doan. 2022. Applying the Transcription System Typannot to Mouth Gestures. In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, pages 42–47, Marseille, France. European Language Resources Association.
Cite (Informal):
Applying the Transcription System Typannot to Mouth Gestures (Danet et al., SignLang 2022)
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PDF:
https://aclanthology.org/2022.signlang-1.7.pdf