Machine translation : 17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021 : revised selected papers / Jingsong Su, Rico Sennrich (eds.).
China Conference on Machine Translation (17th : 2021 : Xining, China); Su, Jinsong, editor.; Sennrich, Rico, editor.
2021
P308 .C55 2021
Available Online

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Title Machine translation : 17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021 : revised selected papers / Jingsong Su, Rico Sennrich (eds.).
Meeting Name China Conference on Machine Translation (17th : 2021 : Xining, China)
ISBN 9789811675126 (electronic bk.)
9811675120 (electronic bk.)
9789811675119 (paperback)
9811675112 (paperback)
DOI https://doi.org/10.1007/978-981-16-7512-6
Published Singapore : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource : illustrations (chiefly color)
Other Standard Identifiers 10.1007/978-981-16-7512-6 doi
Call Number P308 .C55 2021
Dewey Decimal Classification 418/.020285
Summary This 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.
Note Conference proceedings.
Bibliography, etc. Note Includes bibliographical references and author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 9, 2021).
Added Author Su, Jinsong, editor.
Sennrich, Rico, editor.
Series Communications in computer and information science ; 1464. 1865-0937
Available in Other Form Machine translation.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
A 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.

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