Machine Translation and Human Translation – CHEN Shengquan

人工智能时代口译技术应用研究
王华树 | 国内首部聚焦口译技术应用和教学的著作
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Machine Translation and Human Translation - CHEN Shengquan

第一届“人工智能时代的语言学研究”国际会议
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CHEN Shengquan
Bill Chen, vice chairman of the 7th Translators Association of China and deputy director of Localization Committee, product manager of Huawei machine translation, and former director of Huawei Translation Services Center. He has been engaged in software programming, computer science teaching, technical writing, translation and localization management for many years, and has been awarded the title of Gold-medal lecturer by Huawei University. He is also an external tutor for Jinan University, Guangdong University of Foreign Studies, Shanghai Jiao Tong University, and The Chinese University of Hong Kong (Shenzhen).

Machine Translation and Human Translation

Abstract
This paper briefly introduces the principle of the RBMT, SMT, and NMT, comparing the advantages and disadvantages of the three systems. Taking Huawei’s actual implementation of MT as an example, the paper will elaborate on the typical scenarios of MT used in multinational enterprises, the prospect of MT development, and suggestions for linguistic research and translation education.

《语言学研究2019》专题栏目

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