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Improved Chinese-English SMT with Chinese "DE" Construction Classification and Reordering., and . ACM Trans. Asian Lang. Inf. Process., 10 (4): 17:1-17:22 (2011)Pinyin as Subword Unit for Chinese-Sourced Neural Machine Translation., and . AICS, volume 2086 of CEUR Workshop Proceedings, page 89-101. CEUR-WS.org, (2017)Sentence-Length Informed Method for Active Learning Based Resource-Poor Statistical Machine Translation., , and . NLPCC, volume 496 of Communications in Computer and Information Science, page 91-102. Springer, (2014)Research on An Approach of ARP Flooding Suppression in Multi-Controller SDN Networks., , , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 1159-1166. IEEE, (2021)Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction., and . EMNLP/IJCNLP (1), page 389-398. Association for Computational Linguistics, (2019)Pre-Reordering for Neural Machine Translation: Helpful or Harmful?, and . Prague Bull. Math. Linguistics, (2017)ProphetMT: A Tree-based SMT-driven Controlled Language Authoring/Post-Editing Tool., , , and . LREC, European Language Resources Association (ELRA), (2016)NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation., , , , , and . ACL (4), page 37-42. Association for Computational Linguistics, (2018)A Discriminative Latent Variable-Based "DE" Classifier for Chinese-English SMT., and . COLING, page 286-294. Tsinghua University Press, (2010)Dublin City University at the TweetMT 2015 Shared Task., , , , , and . TweetMT@SEPLN, volume 1445 of CEUR Workshop Proceedings, page 33-39. CEUR-WS.org, (2015)