Machine Translation: 17th China Conference, Ccmt 2021, Xining, China, October 8-10, 2021, Revised Selected Papers

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.

• Format: Paperback
• Language: English
• ISBN: 9811675112
• ISBN13: 9789811675119
• Release Date: October 2021
• Publisher: Springer
• Length: 125 Pages
• Weight: 0.45 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"