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

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,Transn’s Submission for?CCMT 2023 Quality Estimation Task,uage, which is suitable for the application trend of machine translation in international communication. CCMT 2023 Quality Estimate Task focuses on predicting sentence level score for each sentence pair in English to/from Chinese. This paper describes our methods for predicting Human Translation Edi

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,HW-TSC’s Neural Machine Translation System for?CCMT 2023,ranslation (CCMT 2023). We participate in all machine translation tasks, including five bilingual machine translation tasks, the Belt and Road low-resource language machine translation task, Chinese-centric multilingual machine translation task and Chinese.English zero-referencing machine translatio

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fatuity

,Korean-Chinese Machine Translation Method Based on?Independent Language Features,g deep learning models. However, there has been insufficient focus on leveraging the linguistic relationship between Korean and Chinese to enhance translation quality. This paper proposes an improvement method that uses the natural connection between the two languages-the Sino-Korean words. Firstly,

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