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020 _a9789811979606
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024 7 _a10.1007/978-981-19-7960-6
_2doi
050 4 _aQA76.9.N38
072 7 _aUYQL
_2bicssc
072 7 _aCOM073000
_2bisacsh
072 7 _aUYQL
_2thema
082 0 4 _a006.35
_223
245 1 0 _aMachine Translation
_h[electronic resource] :
_b18th China Conference, CCMT 2022, Lhasa, China, August 6–10, 2022, Revised Selected Papers /
_cedited by Tong Xiao, Juan Pino.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXIV, 161 p. 60 illus., 49 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1671
505 0 _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 Dempster–Shafer 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 -- NJUNLP’s Submission for CCMT 2022 Quality Estimation Task -- ISTIC’s Thai-to-Chinese Neural Machine Translation System for CCMT’ 2022.
520 _aThis book constitutes the refereed proceedings of the 18th China Conference on Machine Translation, CCMT 2022, held in Lhasa, China, during August 6–10, 2022. The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.
650 0 _aNatural language processing (Computer science).
650 0 _aDatabase management.
650 0 _aComputer science.
650 0 _aCoding theory.
650 0 _aInformation theory.
650 0 _aSocial sciences
_xData processing.
650 1 4 _aNatural Language Processing (NLP).
650 2 4 _aDatabase Management.
650 2 4 _aComputer Science Logic and Foundations of Programming.
650 2 4 _aCoding and Information Theory.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
700 1 _aXiao, Tong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPino, Juan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811979590
776 0 8 _iPrinted edition:
_z9789811979613
830 0 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1671
856 4 0 _uhttps://doi.org/10.1007/978-981-19-7960-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176025
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