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Bayesian Belief Network Model Using Sematic Concept for Expert Finding.

, , , and . KSEM, volume 12816 of Lecture Notes in Computer Science, page 114-125. Springer, (2021)

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Low-Resource Machine Translation Based on Asynchronous Dynamic Programming., , , , and . CCL, volume 12869 of Lecture Notes in Computer Science, page 16-28. Springer, (2021)Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples., , , , , , and . CCMT, volume 1671 of Communications in Computer and Information Science, page 60-71. Springer, (2022)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)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)Neural Machine Translation Based on Prioritized Experience Replay., , , and . ICANN (2), volume 12397 of Lecture Notes in Computer Science, page 358-368. Springer, (2020)Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation., , , , , , and . CCMT, volume 1671 of Communications in Computer and Information Science, page 12-23. Springer, (2022)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)Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation., , , , , , and . CCMT, volume 1671 of Communications in Computer and Information Science, page 72-81. Springer, (2022)Low-Resource Neural Machine Translation Using XLNet Pre-training Model., , , and . ICANN (5), volume 12895 of Lecture Notes in Computer Science, page 503-514. Springer, (2021)