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Natural Synthesis of Productive Forms from Structured Descriptions of Sign Language
- Source :
- Machine Translation, Machine Translation, 2021, ⟨10.1007/s10590-021-09272-2⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience; Natural animation of Sign Language directly from linguistic descriptions continues to be a challenge especially in cases where the forms involved are more productive, such as geometric depictions. Prior work laid the foundation for natural Sign Language synthesis with the Paula animation system directly from AZee linguistic descriptions. This paper considers more elaborate discourse, composed of several clauses linked together by the overall meaning and involving largely productive signing. We make the case that one of the keys to natural animation of such discourse lies also in the segments between the typically annotated signs, in other words on the segments traditionally termed "transitions". By studying an example discourse video and the corresponding motion capture, we progressively build an efficient linguistic description of it and specify how to animate it naturally.
- Subjects :
- Linguistics and Language
Computer science
Theory of Forms
Animation
Sign language
Motion capture
Language and Linguistics
Linguistics
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Artificial Intelligence
Natural (music)
Linguistic description
Computational linguistics
Software
Meaning (linguistics)
Subjects
Details
- Language :
- English
- ISSN :
- 09226567 and 15730573
- Database :
- OpenAIRE
- Journal :
- Machine Translation, Machine Translation, 2021, ⟨10.1007/s10590-021-09272-2⟩
- Accession number :
- edsair.doi.dedup.....376479e1be174191501ec5b11f3f6e09
- Full Text :
- https://doi.org/10.1007/s10590-021-09272-2⟩