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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)

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Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy., , , and . CoRR, (2017)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)Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy., , , , and . MTSummit (1), page 227-240. (2017)TSUKU Statistical Machine Translation System for the NTCIR-10 PatentMT Task., , , , and . NTCIR, National Institute of Informatics (NII), (2013)An Efficient Language Model Using Double-Array Structures., , , and . EMNLP, page 222-232. ACL, (2013)Producing a Test Collection for Patent Machine Translation in the Seventh NTCIR Workshop., , , and . LREC, European Language Resources Association, (2008)IPA Japanese Dictation Free Software Project., , , , , , , , , and 2 other author(s). LREC, European Language Resources Association, (2000)An Automatic Extraction Method of F0 Generation Model Parameters., , and . IEICE Trans. Inf. Syst., 89-D (1): 305-313 (2006)Wikipedia Page View Reflects Web Search Trend., , , and . WebSci, page 65:1-65:2. ACM, (2015)A Re-estimation Method for Stochastic Language Modeling from Ambiguous Observations.. VLC@COLING, (1996)