%0 Conference Proceedings %T Applying the Transcription System Typannot to Mouth Gestures %A Danet, Claire %A Thomas, Chloé %A Contesse, Adrien %A Rébulard, Morgane %A Bianchini, Claudia S. %A Chevrefils, Léa %A Doan, Patrick %Y Efthimiou, Eleni %Y Fotinea, Stavroula-Evita %Y Hanke, Thomas %Y Hochgesang, Julie A. %Y Kristoffersen, Jette %Y Mesch, Johanna %Y Schulder, Marc %S Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources %D 2022 %8 June %I European Language Resources Association %C Marseille, France %F danet-etal-2022-applying %X 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. %U https://aclanthology.org/2022.signlang-1.7 %P 42-47