Representation and Synthesis of Geometric Relocations

Michael Filhol, John McDonald

Abstract
One of the key features of signed discourse is the geometric placements of gestural units in signing space. Signers use the geometry of signing space to describe the placements and forms of objects and also use it to contrast participants or locales in a story. Depending on the specific functions of the placement in the discourse, features such as geometric precision, gaze redirection and timing will all differ. A signing avatar must capture these differences to sign such discourse naturally. This paper builds on prior work that animated geometric depictions to enable a signing avatar to more naturally use signing space for opposing participants and concepts in discourse. Building from a structured linguistic description of a signed newscast, they system automatically synthesizes animation that correctly utilizes signing space to lay out the opposing locales in the report. The efficacy of the approach is demonstrated through comparisons of the avatar’s motion with the source signing.
Anthology ID:
2022.signlang-1.9
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
Editors:
Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Jette Kristoffersen, Johanna Mesch, Marc Schulder
Venue:
SignLang
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
53–58
Language:
URL:
https://aclanthology.org/2022.signlang-1.9
DOI:
Bibkey:
Cite (ACL):
Michael Filhol and John McDonald. 2022. Representation and Synthesis of Geometric Relocations. In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, pages 53–58, Marseille, France. European Language Resources Association.
Cite (Informal):
Representation and Synthesis of Geometric Relocations (Filhol & McDonald, SignLang 2022)
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PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/2022.signlang-1.9.pdf
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