Machine Translation to Sign Language Using Post-Translation Replacement Without Placeholders
Author:
Affiliation:
1. NHK Science & Technology Research Laboratories,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10192576/10192577/10193419.pdf?arnumber=10193419
Reference20 articles.
1. Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
2. Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network
3. Pytorch: An imperative style, high-performance deep learning library;paszke;Proceedings of the 33rd International Conference on Neural Information Processing Systems,2019
4. Attention is all you need;vaswani;Advances in neural information processing systems,2017
5. Decoupled weight decay regularization;loshchilov;International Conference on Learning Representations,2019
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