%0 Conference Paper %1 danet2022applying %A Danet, Claire %A Thomas, Chloé %A Contesse, Adrien %A Rébulard, Morgane %A Bianchini, Claudia S. %A Chevrefils, Léa %A Doan, Patrick %B Proc. XIII Intl LREC Workshop “Representation and processing of Sign Languages: multilingual Sign Language resources” %C Paris %D 2022 %I ELRA %K Typannot myown sign-languages %P 42-37 %T Applying the transcription system Typannot to mouth gestures. %U https://aclanthology.org/events/lrec-2022/#2022-signlang-1 %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. %@ 979-10-95546-86-3

@inproceedings{danet2022applying, 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.}, added-at = {2024-05-19T23:18:11.000+0200}, address = {Paris}, author = {Danet, Claire and Thomas, Chloé and Contesse, Adrien and Rébulard, Morgane and Bianchini, Claudia S. and Chevrefils, Léa and Doan, Patrick}, biburl = {https://www.bibsonomy.org/bibtex/2e2c91fbb762d64f7bf26eaae0d9b2794/claudias}, booktitle = {Proc. XIII Intl LREC Workshop “Representation and processing of Sign Languages: multilingual Sign Language resources”}, description = {Scopus 85146237944}, interhash = {9b9004d1a5b6bd0b7cb5c71c03465798}, intrahash = {e2c91fbb762d64f7bf26eaae0d9b2794}, isbn = {979-10-95546-86-3}, keywords = {Typannot myown sign-languages}, language = {English}, pages = {42-37}, publisher = {ELRA}, timestamp = {2024-05-19T23:27:15.000+0200}, title = {Applying the transcription system Typannot to mouth gestures.}, url = {https://aclanthology.org/events/lrec-2022/#2022-signlang-1}, venue = {Marseille}, year = 2022 }