Titlebook: Machine Translation; 19th China Conferenc Yang Feng,Chong Feng Conference proceedings 2023 The Editor(s) (if applicable) and The Author(s),

有灵感

书目名称Machine Translation影响因子(影响力)




书目名称Machine Translation影响因子(影响力)学科排名




书目名称Machine Translation网络公开度




书目名称Machine Translation网络公开度学科排名




书目名称Machine Translation被引频次




书目名称Machine Translation被引频次学科排名




书目名称Machine Translation年度引用




书目名称Machine Translation年度引用学科排名




书目名称Machine Translation读者反馈




书目名称Machine Translation读者反馈学科排名

alcoholism

Mnemonics

,HIT-MI &T Lab’s Submission to CCMT 2023 Automatic Post-editing Task,ore different techniques to create synthetic data, including domain selection, forward translation and data augmentation via large language model. Multi-model ensemble is also adopted in our final system. The experiment results on the development set demonstrate the effectiveness of our proposed method.

chassis

史前

没有希望

和蔼

,A Novel Dataset and Benchmark Analysis on Document Image Translation, . and . for better DIT, has been proposed. Furthermore, benchmark evaluations and detailed analysis based on this framework have been conducted. The evaluations and analysis results demonstrate that the dataset is very practical and can facilitate full-stack analysis and long-term research on DIT.

Rebate

1865-0929 October 19–21, 2023. .The 8 full papers and 3 short papers included in this book were carefully reviewed and selected from 71 submissions. They focus on machine translation; improvement of translation models and systems; translation quality estimation; document-level machine translation; low-resourc

矛盾

musicologist

,ISTIC’s Neural Machine Translation Systems for CCMT’ 2023,yghur.Chinese). Context-aware systems and a multilingual system are built for two tasks respectively. The paper mainly illuminates our systems’ architecture based on Transformer, data preprocessing methods and some strategies adopted in these systems. In addition, the paper evaluates the systems’ performance under different methods.