Machine Translation

Machine Translation

17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021, Revised Selected Papers

Sennrich, Rico; Su, Jinsong

Springer Verlag, Singapore

10/2021

125

Mole

Inglês

9789811675119

15 a 20 dias

226

Descrição não disponível.
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.
artificial intelligence;automata theory;communication;computational linguistics;computer aided language translation;computer science;computer systems;correlation analysis;databases;engineering;information theory;linguistics;machine translations;mathematics;Natural Language Processing (NLP);natural languages;semantics;signal processing;theoretical computer science;translation (languages)