Machine Translation
18th China Conference, CCMT 2022, Lhasa, China, August 6¿10, 2022, Revised Selected Papers
Herausgegeben:Xiao, Tong; Pino, Juan
Machine Translation
18th China Conference, CCMT 2022, Lhasa, China, August 6¿10, 2022, Revised Selected Papers
Herausgegeben:Xiao, Tong; Pino, Juan
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This book constitutes the refereed proceedings of the 18th China Conference on Machine Translation, CCMT 2022, held in Lhasa, China, during August 6-10, 2022. The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.
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This book constitutes the refereed proceedings of the 18th China Conference on
Machine Translation, CCMT 2022, held in Lhasa, China, during August 6-10, 2022.
The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.
Machine Translation, CCMT 2022, held in Lhasa, China, during August 6-10, 2022.
The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 1671
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-19-7959-0
- 1st ed. 2022
- Seitenzahl: 176
- Erscheinungstermin: 9. Dezember 2022
- Englisch
- Abmessung: 235mm x 155mm x 10mm
- Gewicht: 277g
- ISBN-13: 9789811979590
- ISBN-10: 9811979596
- Artikelnr.: 65999593
- Communications in Computer and Information Science 1671
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-19-7959-0
- 1st ed. 2022
- Seitenzahl: 176
- Erscheinungstermin: 9. Dezember 2022
- Englisch
- Abmessung: 235mm x 155mm x 10mm
- Gewicht: 277g
- ISBN-13: 9789811979590
- ISBN-10: 9811979596
- Artikelnr.: 65999593
PEACook: Post-Editing Advancement Cookbook.- Hot-start Transfer Learning combined with Approximate Distillation for Mongolian- Chinese Neural Machine Translation.- Review-based Curriculum Learning for Neural Machine Translation.- Multi-Strategy Enhanced Neural Machine Translation for Chinese Minority Language.- Target-side Language Model for Reference-free Machine Translation Evaluation.- Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement.- Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples.- Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation.- Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory.- A Multi-tasking and Multi-stage Chinese Minority Pre-Trained Language Model.- An improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation.- Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation.- HW-TSC Submission for CCMT 2022 Translation Quality Estimation Task.- Effective Data Augmentation Methods for CCMT 2022.- NJUNLP's Submission for CCMT 2022 Quality Estimation Task.- ISTIC's Thai-to-Chinese Neural Machine Translation System for CCMT' 2022.
PEACook: Post-Editing Advancement Cookbook.- Hot-start Transfer Learning combined with Approximate Distillation for Mongolian- Chinese Neural Machine Translation.- Review-based Curriculum Learning for Neural Machine Translation.- Multi-Strategy Enhanced Neural Machine Translation for Chinese Minority Language.- Target-side Language Model for Reference-free Machine Translation Evaluation.- Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement.- Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples.- Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation.- Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory.- A Multi-tasking and Multi-stage Chinese Minority Pre-Trained Language Model.- An improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation.- Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation.- HW-TSC Submission for CCMT 2022 Translation Quality Estimation Task.- Effective Data Augmentation Methods for CCMT 2022.- NJUNLP's Submission for CCMT 2022 Quality Estimation Task.- ISTIC's Thai-to-Chinese Neural Machine Translation System for CCMT' 2022.