English synchronous real-time translation method based on reinforcement learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-022-02910-4.pdf
Reference38 articles.
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2. Chen, J., Wu, Y., Jia, C., et al. (2020). Customizable text generation via conditional text generative adversarial network. Neurocomputing, 416, 125–135. https://doi.org/10.1016/j.neucom.2018.12.092.
3. Stoll, S., Camgoz, N. C., Hadfield, S., et al. (2020). Text2Sign: Towards sign language production using neural machine translation and generative adversarial networks. International Journal of Computer Vision, 128, 891–908. https://doi.org/10.1007/s11263-019-01281-2.
4. Casado, L. F., García-Gutiérrez, J. V., Massagué, I., et al. (2015). Switching to second-generation tyrosine kinase inhibitor improves the response and outcome of frontline imatinib-treated patients with chronic myeloid leukemia with more than 10% of BCR-ABL/ABL ratio at 3months. Cancer Medicine, 4, 995–1002. https://doi.org/10.1002/cam4.440.
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