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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
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035   $a(PPN)253253667
035   $a(EXLCZ)994100000011716947
100   $a20210113d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMachine Translation $e16th China Conference, CCMT 2020, Hohhot, China, October 10-12, 2020, Revised Selected Papers /$fedited by Junhui Li, Andy Way
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XII, 143 p. 14 illus.) 
225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1328
300   $aIncludes index.
311 08$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 EstimationTask -- 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,$x1865-0937 ;$v1328
606   $aNatural language processing (Computer science)
606   $aDatabase management
606   $aComputer science
606   $aCoding theory
606   $aInformation theory
606   $aMachine learning
606   $aNatural Language Processing (NLP)
606   $aDatabase Management
606   $aComputer Science Logic and Foundations of Programming
606   $aCoding and Information Theory
606   $aMachine Learning
615  0$aNatural language processing (Computer science).
615  0$aDatabase management.
615  0$aComputer science.
615  0$aCoding theory.
615  0$aInformation theory.
615  0$aMachine learning.
615 14$aNatural Language Processing (NLP).
615 24$aDatabase Management.
615 24$aComputer Science Logic and Foundations of Programming.
615 24$aCoding and Information Theory.
615 24$aMachine Learning.
676   $a418.020285
702   $aLi$b Junhui
702   $aWay$b Andy
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910447240503321
996   $aMachine translation$91011679
997   $aUNINA