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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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A First Investigation on Mongolian Information Retrieval., , , and . EVIA@NTCIR, National Institute of Informatics (NII), (2008)LSA-Based Chinese-Slavic Mongolian NER Disambiguation., , and . CIT/IUCC/DASC/PICom, page 703-708. IEEE, (2015)Improving Mongolian-Chinese Machine Translation with Automatic Post-editing., , , and . ICONIP (1), volume 12532 of Lecture Notes in Computer Science, page 766-775. Springer, (2020)Word-Level Error Correction in Non-autoregressive Neural Machine Translation., , , and . ICONIP (4), volume 1332 of Communications in Computer and Information Science, page 726-733. Springer, (2020)Sub-word Embedding Auxiliary Encoding in Mongolian-Chinese Neural Machine Translation., , and . ICSCA, page 292-296. ACM, (2020)Training with Additional Semantic Constraints for Enhancing Neural Machine Translation., , , and . PRICAI (1), volume 11670 of Lecture Notes in Computer Science, page 300-313. Springer, (2019)Combining Discrete Lexicon Probabilities with NMT for Low-Resource Mongolian-Chinese Translation., , , , , and . PDCAT, page 104-111. IEEE Computer Society, (2017)Low-Resource Neural Machine Translation Based on Improved Reptile Meta-learning Method., , , , and . CCMT, volume 1464 of Communications in Computer and Information Science, page 39-50. Springer, (2021)Semantic Perception-Oriented Low-Resource Neural Machine Translation., , , , and . CCMT, volume 1464 of Communications in Computer and Information Science, page 51-62. Springer, (2021)Low-Resource Neural Machine Translation with Neural Episodic Control., , , and . IJCNN, page 1-7. IEEE, (2021)