Machine Translation
17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021, Revised Selected Papers
Published on 30. October 2021
Book
Paperback/Softback
XIII, 125 pages
978-981-16-7511-9 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
12 s/w Abbildungen, 40 farbige Abbildungen
XIII, 125 p. 52 illus., 40 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
224 gr
ISBN-13
978-981-16-7511-9 (9789811675119)
DOI
10.1007/978-981-16-7512-6
Schweitzer Classification
Other editions
Additional editions
Jinsong Su | Rico Sennrich
Machine Translation
17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021, Revised Selected Papers
E-Book
10/2021
Springer
€69.54
Available for download
Content
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.