Robust Design of Machine Translation System Based on Convolutional Neural Network

Author:

Pei Pei,Ren Jun

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Zou, D.F., Hu, Q.B.: Construction of neural machine translation model based on tree-to-string model enhancement. Comput. Simulat. 38(2), 344–347, 476 (2021)

2. Bayatli, S., Kurnaz, S., Ali, A., et al.: Unsupervised weighting of transfer rules in rule-based machine translation using maximum-entropy approach. J. Inf. Sci. Eng. 36(2), 309–322 (2020)

3. Zhu, Z.Q., Wang, S.H., Zhang, Y.D.: ROENet: a ResNet-based output ensemble for malaria parasite classification. Electronics 11(13), 2040 (2022)

4. Sprott, J.C.: Quantifying the robustness of a chaotic system. Chaos 32(2), 1–7 (2022)

5. Zhou, Y.Z., Zhao, J.X., Zhai, Q.Z.: 100% renewable energy: a multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power. Appl. Energy 301(1), 1–12 (2021)

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