LEADER 02963oam 2200481 450 001 996465345603316 005 20210617220443.0 010 $a981-336-162-X 024 7 $a10.1007/978-981-33-6162-1 035 $a(CKB)4100000011716947 035 $a(DE-He213)978-981-33-6162-1 035 $a(MiAaPQ)EBC6456118 035 $a(PPN)253253667 035 $a(EXLCZ)994100000011716947 100 $a20210617d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine translation $e16th China Conference, CCMT 2020, Hohhot, China, October 10-12, 2020, revised selected papers /$fJunhui Li, Andy Way (editors) 205 $a1st ed. 2020. 210 1$aGateway East, Singapore :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (XII, 143 p. 14 illus.) 225 1 $aCommunications in computer and information science ;$v1328 300 $aIncludes index. 311 $a981-336-161-1 327 $aTransfer Learning for Chinese-Lao Neural Machine Translation with Linguistic Similarity -- MTNER: A Corpus for Mongolian Tourism Named Entity Recognition -- Unsupervised Machine Translation Quality Estimation in Black-box Setting -- YuQ: A Chinese-Uyghur Medical-domain Neural Machine Translation Dataset Towards Knowledge-driven -- Quality Estimation for Machine Translation with Multi-granularity Interaction -- Transformer-based unified neural network for quality estimation and Transformer-based re-decoding model for machine translation -- NJUNLP?s Machine Translation System for CCMT-2020 Uighur ? Chinese Translation Task -- Description and Findings of OPPO?s Machine Translation Systems for CCMT 2020 -- Tsinghua University Neural Machine Translation Systems for CCMT 2020 -- BJTU?s Submission to CCMT 2020 Quality Estimation Task -- NJUNLP?s Submission for CCMT20 Quality Estimation Task -- Tencent Submissions for the CCMT 2020 Quality Estimation Task -- Neural Machine Translation based on Back-Translation for Multilingual Translation Evaluation Task. . 330 $aThis book constitutes the refereed proceedings of the 16th China Conference on Machine Translation, CCMT 2020, held in Hohhot, China, in October 2020. The 13 papers presented in this volume were carefully reviewed and selected from 78 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing. 410 0$aCommunications in computer and information science ;$v1328. 606 $aMachine translating$vCongresses 615 0$aMachine translating 676 $a418.020285 702 $aLi$b Junhui 702 $aWay$b Andy 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996465345603316 996 $aMachine translation$91011679 997 $aUNISA