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Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples.

, , , , , , и . CCMT, том 1671 из Communications in Computer and Information Science, стр. 60-71. Springer, (2022)

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Neural Machine Translation Based on Prioritized Experience Replay., , , и . ICANN (2), том 12397 из Lecture Notes in Computer Science, стр. 358-368. Springer, (2020)GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis., , , , , и . ICONIP (4), том 1142 из Communications in Computer and Information Science, стр. 189-197. Springer, (2019)Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis., , , и . IJCNN, стр. 1-7. IEEE, (2019)Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation., , , , , , и . CCMT, том 1671 из Communications in Computer and Information Science, стр. 12-23. Springer, (2022)Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement., , и . ICANN (8), том 14261 из Lecture Notes in Computer Science, стр. 331-344. Springer, (2023)Low-Resource Neural Machine Translation Based on Improved Reptile Meta-learning Method., , , , и . CCMT, том 1464 из Communications in Computer and Information Science, стр. 39-50. Springer, (2021)Semantic Perception-Oriented Low-Resource Neural Machine Translation., , , , и . CCMT, том 1464 из Communications in Computer and Information Science, стр. 51-62. Springer, (2021)Low-Resource Neural Machine Translation with Neural Episodic Control., , , и . IJCNN, стр. 1-7. IEEE, (2021)Combining Discrete Lexicon Probabilities with NMT for Low-Resource Mongolian-Chinese Translation., , , , , и . PDCAT, стр. 104-111. IEEE Computer Society, (2017)Optimizing Multi-feature Dependent Story Generation Model., , , , , и . ICIC (LNAI 3), том 14877 из Lecture Notes in Computer Science, стр. 151-162. Springer, (2024)