001451823 000__ 03787cam\a2200589\i\4500 001451823 001__ 1451823 001451823 003__ OCoLC 001451823 005__ 20230310004719.0 001451823 006__ m\\\\\o\\d\\\\\\\\ 001451823 007__ cr\cn\nnnunnun 001451823 008__ 221212s2022\\\\si\a\\\\o\\\\\101\0\eng\d 001451823 019__ $$a1355220914 001451823 020__ $$a9789811979606$$q(electronic bk.) 001451823 020__ $$a981197960X$$q(electronic bk.) 001451823 020__ $$z9789811979590 001451823 020__ $$z9811979596 001451823 0247_ $$a10.1007/978-981-19-7960-6$$2doi 001451823 035__ $$aSP(OCoLC)1354245981 001451823 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dN$T$$dOCLCQ$$dUKAHL 001451823 049__ $$aISEA 001451823 050_4 $$aP308 001451823 08204 $$a418/.020285$$223/eng/20230103 001451823 1112_ $$aChina Conference on Machine Translation$$n(18th :$$d2022 :$$cLhasa, China). 001451823 24510 $$aMachine translation :$$b18th China conference, CCMT 2022, Lhasa, China, August 6-10, 2022 : revised selected papers /$$cTong Xiao, Juan Pino (eds.). 001451823 24630 $$aCCMT 2022 001451823 264_1 $$aSingapore :$$bSpringer,$$c[2022] 001451823 264_4 $$c©2022 001451823 300__ $$a1 online resource (xiv, 161 pages) :$$billustrations (chiefly color). 001451823 336__ $$atext$$btxt$$2rdacontent 001451823 337__ $$acomputer$$bc$$2rdamedia 001451823 338__ $$aonline resource$$bcr$$2rdacarrier 001451823 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1671 001451823 500__ $$aSelected conference proceedings. 001451823 500__ $$aIncludes author index. 001451823 5050_ $$aPEACook: Post-Editing Advancement Cookbook -- Hot-start Transfer Learning combined with Approximate Distillation for Mongolian- Chinese Neural Machine Translation -- Review-based Curriculum Learning for Neural Machine Translation -- Multi-Strategy Enhanced Neural Machine Translation for Chinese Minority Language -- Target-side Language Model for Reference-free Machine Translation Evaluation -- Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement -- Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples -- Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation -- Dynamic Fusion Nearest Neighbor Machine Translation via DempsterShafer Theory -- A Multi-tasking and Multi-stage Chinese Minority Pre-Trained Language Model -- An improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation -- Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation -- HW-TSC Submission for CCMT 2022 Translation Quality Estimation Task -- Effective Data Augmentation Methods for CCMT 2022 -- NJUNLPs Submission for CCMT 2022 Quality Estimation Task -- ISTICs Thai-to-Chinese Neural Machine Translation System for CCMT 2022. 001451823 506__ $$aAccess limited to authorized users. 001451823 520__ $$aThis book constitutes the refereed proceedings of the 18th China Conference on Machine Translation, CCMT 2022, held in Lhasa, China, during August 610, 2022. The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions. 001451823 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 3, 2023). 001451823 650_0 $$aMachine translating$$vCongresses. 001451823 650_0 $$aChinese language$$xMachine translating$$vCongresses. 001451823 655_7 $$aConference papers and proceedings.$$2lcgft 001451823 655_0 $$aElectronic books. 001451823 7001_ $$aXiao, Tong,$$d1982-$$eeditor. 001451823 7001_ $$aPino, Juan,$$eeditor. 001451823 77608 $$iPrint version:$$z9811979596$$z9789811979590$$w(OCoLC)1347260393 001451823 830_0 $$aCommunications in computer and information science ;$$v1671.$$x1865-0937 001451823 852__ $$bebk 001451823 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7960-6$$zOnline Access$$91397441.1 001451823 909CO $$ooai:library.usi.edu:1451823$$pGLOBAL_SET 001451823 980__ $$aBIB 001451823 980__ $$aEBOOK 001451823 982__ $$aEbook 001451823 983__ $$aOnline 001451823 994__ $$a92$$bISE