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001440676 019__ $$a1282008695$$a1283843106$$a1287771219$$a1292517601
001440676 020__ $$a9789811675126$$q(electronic bk.)
001440676 020__ $$a9811675120$$q(electronic bk.)
001440676 020__ $$z9789811675119$$q(paperback)
001440676 020__ $$z9811675112$$q(paperback)
001440676 0247_ $$a10.1007/978-981-16-7512-6$$2doi
001440676 035__ $$aSP(OCoLC)1281767144
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001440676 049__ $$aISEA
001440676 050_4 $$aP308$$b.C55 2021
001440676 08204 $$a418/.020285$$223
001440676 1112_ $$aChina Conference on Machine Translation$$n(17th :$$d2021 :$$cXining, China)
001440676 24510 $$aMachine translation :$$b17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021 : revised selected papers /$$cJingsong Su, Rico Sennrich (eds.).
001440676 24630 $$aCCMT 2021
001440676 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001440676 264_4 $$c©2021
001440676 300__ $$a1 online resource :$$billustrations (chiefly color)
001440676 336__ $$atext$$btxt$$2rdacontent
001440676 337__ $$acomputer$$bc$$2rdamedia
001440676 338__ $$aonline resource$$bcr$$2rdacarrier
001440676 347__ $$atext file
001440676 347__ $$bPDF
001440676 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1464
001440676 500__ $$aConference proceedings.
001440676 504__ $$aIncludes bibliographical references and author index.
001440676 5050_ $$aA Document-Level Machine Translation Quality Estimation Model Based on Centering Theory -- SAUNLP'S Submission for CCMT 2021 Quality Estimation Task -- BJTU-Toshiba's Submission to CCMT 2021 QE and APE task -- Low-resource Neural Machine Translation based on Improved Reptile Meta-Learning Method -- Semantic Perception-Oriented Low-resource Neural Machine Translation -- Semantic-aware Deep Neural Attention Network for Machine Translation Detection -- Routing Based Context Selection for Document-Level Neural Machine Translation -- Generating Diverse Back-translations via Constraint Random Decoding -- Machine Translation Evaluation Technical Report for CCMT' 2021 -- BJTU's Submission to CCMT 2021 Translation Evaluation Task.
001440676 506__ $$aAccess limited to authorized users.
001440676 520__ $$aThis book constitutes the refereed proceedings of the 17th China Conference on Machine Translation, CCMT 2020, held in Xining, China, in October 2021. The 10 papers presented in this volume were carefully reviewed and selected from 25 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
001440676 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 9, 2021).
001440676 650_0 $$aMachine translating$$vCongresses.
001440676 650_0 $$aComputational linguistics$$vCongresses.
001440676 650_6 $$aTraduction automatique$$vCongrès.
001440676 650_6 $$aLinguistique informatique$$vCongrès.
001440676 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440676 655_7 $$aConference papers and proceedings.$$2lcgft
001440676 655_7 $$aActes de congrès.$$2rvmgf
001440676 655_0 $$aElectronic books.
001440676 7001_ $$aSu, Jinsong,$$eeditor.
001440676 7001_ $$aSennrich, Rico,$$eeditor.
001440676 77608 $$iPrint version:$$aChina Conference on Machine Translation (17th : 2021 : Xining, China).$$tMachine translation.$$dSingapore : Springer, [2021]$$z9789811675119$$w(OCoLC)1273075330
001440676 830_0 $$aCommunications in computer and information science ;$$v1464.$$x1865-0937
001440676 852__ $$bebk
001440676 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7512-6$$zOnline Access$$91397441.1
001440676 909CO $$ooai:library.usi.edu:1440676$$pGLOBAL_SET
001440676 980__ $$aBIB
001440676 980__ $$aEBOOK
001440676 982__ $$aEbook
001440676 983__ $$aOnline
001440676 994__ $$a92$$bISE