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000917363 019__ $$a1129160493
000917363 020__ $$a9789811517211$$q(electronic book)
000917363 020__ $$a9811517215$$q(electronic book)
000917363 020__ $$z9789811517204
000917363 0247_ $$a10.1007/978-981-15-1721-1$$2doi
000917363 0247_ $$a10.1007/978-981-15-1
000917363 035__ $$aSP(OCoLC)on1128882844
000917363 035__ $$aSP(OCoLC)1128882844$$z(OCoLC)1129160493
000917363 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dLQU
000917363 049__ $$aISEA
000917363 050_4 $$aP308
000917363 08204 $$a418/.020285$$223
000917363 1112_ $$aChina Conference on Machine Translation$$n(15th :$$d2019 :$$cNanchang, China)
000917363 24510 $$aMachine translation :$$b15th China Conference, CCMT 2019, Nanchang, China, September 27-29, 2019, Revised selected papers /$$cShujian Huang, Kevin Knight (eds.).
000917363 2463_ $$aCCMT 2019
000917363 264_1 $$aSingapore :$$bSpringer,$$c2019.
000917363 300__ $$a1 online resource (xii, 129 pages) :$$billustrations.
000917363 336__ $$atext$$btxt$$2rdacontent
000917363 337__ $$acomputer$$bc$$2rdamedia
000917363 338__ $$aonline resource$$bcr$$2rdacarrier
000917363 4901_ $$aCommunications in computer and information science,$$x1865-0929 ;$$v1104
000917363 500__ $$aIncludes author index.
000917363 5050_ $$aImproving Bilingual Lexicon Induction on Distant Language Pairs -- Improving Quality Estimation of Machine Translation by Using Pre-trained Language Representation -- Incorporating Syntactic Knowledge in Neural Quality Estimation for Machine Translation -- Independent Fusion of Words and Image for Multimodal Machine Translation -- Neural Machine Translation with Attention Based on A New Syntactic Branch Distance -- Phrase-based Chinese-Vietnamese pseudo-parallel sentence pair generation -- Quality Estimation with Transformer and RNN Architectures -- NICTs Machine Translation Systems for CCMT-2019 Translation Task -- NiuTrans Submission for CCMT19 Quality Estimation Task -- Tencent Minority-Mandarin Translation System -- CCMT 2019 Machine Translation Evaluation Report.
000917363 506__ $$aAccess limited to authorized users.
000917363 520__ $$aThis book constitutes the refereed proceedings of the 15th China Conference on Machine Translation, CCMT 2019, held in Nanchang, China, in September 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
000917363 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 26, 2019).
000917363 650_0 $$aMachine translating$$vCongresses.
000917363 7001_ $$aHuang, Shujian,$$eeditor.
000917363 7001_ $$aKnight, Kevin,$$eeditor.
000917363 830_0 $$aCommunications in computer and information science ;$$v1104.
000917363 852__ $$bebk
000917363 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-1721-1$$zOnline Access$$91397441.1
000917363 909CO $$ooai:library.usi.edu:917363$$pGLOBAL_SET
000917363 980__ $$aEBOOK
000917363 980__ $$aBIB
000917363 982__ $$aEbook
000917363 983__ $$aOnline
000917363 994__ $$a92$$bISE