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Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language.

, , , and . ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 326-336. Springer, (2019)

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Graph-Based Attention Networks for Aspect Level Sentiment Analysis., , , , and . ICTAI, page 1188-1194. IEEE, (2019)Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation., , , and . PRICAI (2), volume 13032 of Lecture Notes in Computer Science, page 46-57. Springer, (2021)An Optimized Regularization Method to Enhance Low-Resource MT., , , and . PDCAT, volume 931 of Communications in Computer and Information Science, page 285-295. Springer, (2018)Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language., , , and . ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 326-336. Springer, (2019)GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis., , , , , and . ICONIP (4), volume 1142 of Communications in Computer and Information Science, page 189-197. Springer, (2019)Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis., , , and . IJCNN, page 1-7. IEEE, (2019)SITD-NMT: Synchronous Inference NMT with Turing Re-Translation Detection., , , , , , and . IJCNN, page 1-9. IEEE, (2024)A Review of Mongolian Neural Machine Translation from the Perspective of Training., , , , , and . IJCNN, page 1-10. IEEE, (2024)RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis., , , , and . KSEM (1), volume 11775 of Lecture Notes in Computer Science, page 667-675. Springer, (2019)Multi-task Learning for Mongolian Morphological Analysis., , , , , and . ICANN (9), volume 14262 of Lecture Notes in Computer Science, page 65-77. Springer, (2023)