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TSUKU Statistical Machine Translation System for the NTCIR-10 PatentMT Task., , , , and . NTCIR, National Institute of Informatics (NII), (2013)Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy., , , and . CoRR, (2017)An Efficient Language Model Using Double-Array Structures., , , and . EMNLP, page 222-232. ACL, (2013)Evaluating Features for Identifying Japanese-Chinese Bilingual Synonymous Technical Terms from Patent Families., , , and . BUCC@ACL/IJCNLP, page 52-61. Association for Computational Linguistics, (2015)Overview of the Patent Translation Task at the NTCIR-7 Workshop., , , and . NTCIR, National Institute of Informatics (NII), (2008)Several measures for selecting suitable speech CORPORA., , and . EUROSPEECH, ISCA, (1997)Constructing family trees of multilingual speech using Gaussian mixture models., , and . INTERSPEECH, page 2253-2256. ISCA, (2005)An Unsupervised Parameter Estimation Algorithm for a Generative Dependency N-gram Language Model., and . IJCNLP, page 516-524. Asian Federation of Natural Language Processing / ACL, (2013)Topic-based language models using Dirichlet Mixtures., , and . Systems and Computers in Japan, 38 (12): 76-85 (2007)Automatic News Source Detection in Twitter Based on Text Segmentation., , and . PACLIC, page 195-203. The PACLIC 28 Organizing Committee and PACLIC Steering Committee / ACL / Department of Linguistics, Faculty of Arts, Chulalongkorn University, (2014)