Léa Chevrefils
2022
Applying the Transcription System Typannot to Mouth Gestures
Claire Danet
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Chloé Thomas
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Adrien Contesse
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Morgane Rébulard
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Claudia S. Bianchini
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Léa Chevrefils
|
Patrick Doan
Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources
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.
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Co-authors
- Claire Danet 1
- Chloé Thomas 1
- Adrien Contesse 1
- Morgane Rébulard 1
- Claudia S. Bianchini 1
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