Machine Translation
Editat de Jinsong Su, Rico Sennrichen Limba Engleză Paperback – 30 oct 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.
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Specificații
ISBN-13: 9789811675119
ISBN-10: 9811675112
Pagini: 140
Ilustrații: XIII, 125 p. 52 illus., 40 illus. in color.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811675112
Pagini: 140
Ilustrații: XIII, 125 p. 52 illus., 40 illus. in color.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Singapore, Singapore
Cuprins
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.