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Combining Discrete Lexicon Probabilities with NMT for Low-Resource Mongolian-Chinese Translation.

J. Li, H. Hou, J. Wu, H. Wang, W. Fan, and Z. Ren. PDCAT, page 104-111. IEEE Computer Society, (2017)

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HTRDP evaluations on Chinese information processing and intelligent human-machine interface.Q. Liu, X. Wang, H. Liu, L. Sun, S. Tang, D. Xiong, H. Hou, Y. Lv, W. Li, S. Lin and 1 other author(s). Frontiers Comput. Sci. China, 1 (1): 58-93 (2007)Template-based model for Mongolian - Chinese machine translation.W. Jing, H. Hou, F. Bao, and Y. Jiang. TAAI, page 352-357. IEEE, (2015)Template-Based Model for Mongolian-Chinese Machine Translation.J. Wu, H. Hou, F. Bao, and Y. Jiang. JACIII, 20 (6): 893-901 (2016)RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis.J. Chen, H. Hou, J. Gao, Y. Ji, and T. Bai. KSEM (1), volume 11775 of Lecture Notes in Computer Science, page 667-675. Springer, (2019)LSA-Based Chinese-Slavic Mongolian NER Disambiguation.Y. Jiang, H. Hou, and P. Yang. CIT/IUCC/DASC/PICom, page 703-708. IEEE, (2015)A First Investigation on Mongolian Information Retrieval.G. Gao, W. Jin, F. Long, and H. Hou. EVIA@NTCIR, National Institute of Informatics (NII), (2008)Training with Additional Semantic Constraints for Enhancing Neural Machine Translation.Y. Ji, H. Hou, J. Chen, and N. Wu. 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.J. Li, H. Hou, J. Wu, H. Wang, W. Fan, and Z. Ren. PDCAT, page 104-111. IEEE Computer Society, (2017)An EBMT system based on word alignment.H. Hou, D. Dang, G. Zou, H. Yu, Y. Liu, D. Xiong, and Q. Liu. IWSLT, page 47-49. ISCA, (2004)Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language.Y. Ji, H. Hou, N. Wu, and J. Chen. ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 326-336. Springer, (2019)

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Combining Discrete Lexicon Probabilities with NMT for Low-Resource Mongolian-Chinese Translation.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Combining Discrete Lexicon Probabilities with NMT for Low-Resource Mongolian-Chinese Translation.

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Combining Discrete Lexicon Probabilities with NMT for Low-Resource Mongolian-Chinese Translation.