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LSA-Based Chinese-Slavic Mongolian NER Disambiguation.

, , and . CIT/IUCC/DASC/PICom, page 703-708. IEEE, (2015)

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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)Template-based model for Mongolian - Chinese machine translation., , , and . TAAI, page 352-357. IEEE, (2015)Template-Based Model for Mongolian-Chinese Machine Translation., , , and . JACIII, 20 (6): 893-901 (2016)HTRDP evaluations on Chinese information processing and intelligent human-machine interface., , , , , , , , , and 1 other author(s). Frontiers Comput. Sci. China, 1 (1): 58-93 (2007)An EBMT system based on word alignment., , , , , , and . IWSLT, page 47-49. ISCA, (2004)Adapting Attention-Based Neural Network to Low-Resource Mongolian-Chinese Machine Translation., , , , and . NLPCC/ICCPOL, volume 10102 of Lecture Notes in Computer Science, page 470-480. Springer, (2016)Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT., , and . PACLIC, ACL, (2015)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)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)LSA-Based Chinese-Slavic Mongolian NER Disambiguation., , and . CIT/IUCC/DASC/PICom, page 703-708. IEEE, (2015)