Corpus Design for Signing Avatars
Duarte, Kyle | Gibet, Sylvie
- Volume:
- Proceedings of the LREC2010 4th Workshop on the Representation and Processing of Sign Languages: Corpora and Sign Language Technologies
- Venue:
- Valletta, Malta
- Date:
- 22 and 23 May 2010
- Pages:
- 73–75
- Publisher:
- European Language Resources Association (ELRA)
- License:
- CC BY-NC
- sign-lang ID:
- 10020
Content Categories
- Languages:
- French Sign Language
- Corpora:
- SignCom
Abstract
The SignCom project uses motion capture (mocap) data to animate a virtual French Sign Language (LSF) signer. An important part of any signing avatar project is to ensure that a computer animation engine has a large quantity of interesting and on-topic signs from which to build novel signing sequences. In this article, we detail the process of selecting an adequate range of signs and situations to be included in our corpus: from controlling discourse topic to including signs that can accept modified movements or handshapes, we describe how an avatar corpus has a different motivation than traditional signed language corpora.Document Download
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Citation in ACL Citation Format
Kyle Duarte, Sylvie Gibet. 2010. Corpus Design for Signing Avatars. In Proceedings of the LREC2010 4th Workshop on the Representation and Processing of Sign Languages: Corpora and Sign Language Technologies, pages 73–75, Valletta, Malta. European Language Resources Association (ELRA).BibTeX Export
@inproceedings{duarte:10020:sign-lang:lrec, author = {Duarte, Kyle and Gibet, Sylvie}, title = {Corpus Design for Signing Avatars}, pages = {73--75}, editor = {Dreuw, Philippe and Efthimiou, Eleni and Hanke, Thomas and Johnston, Trevor and Mart{\'i}nez Ruiz, Gregorio and Schembri, Adam}, booktitle = {Proceedings of the {LREC2010} 4th Workshop on the Representation and Processing of Sign Languages: Corpora and Sign Language Technologies}, maintitle = {7th International Conference on Language Resources and Evaluation ({LREC} 2010)}, publisher = {{European Language Resources Association (ELRA)}}, address = {Valletta, Malta}, day = {22--23}, month = may, year = {2010}, language = {english}, url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/10020.pdf} }