중국 번역학계 ‘기계 번역’ 연구 동향 분석
Analysis of machine translation research trends in Chinese translation studies
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초록
This study aims to analyze the research trends of machine translation in the field of translation studies in China, through a quantitative analysis of the publication, subjects, keywords of related articles published in key Chinese translation journals, including the Chinese Translators Journal, the Shanghai Journal of Translators, and the Chinese Science & Technology Translators Journal. The results demonstrate that from the first publication in 1981 to 2020, a total of 222 machine translation studies were published in the three journals. Machine translation research in Chinese translation studies displays the following characteristics and trends: accumulation of fundamental theories and technical groundwork during about 40 years of research; a diversity of research topics including method, tools, quality, education, and translating agents; and active research on new forms of machine translation, including big data and crowdsourced translation, as well as a shift from a technological to a techno-philosophical approach. (Ewha Womans University, South Korea)
Abstract
This study aims to analyze the research trends of machine translation in the field of translation studies in China, through a quantitative analysis of the publication, subjects, keywords of related articles published in key Chinese translation journals, including the Chinese Translators Journal, the Shanghai Journal of Translators, and the Chinese Science & Technology Translators Journal. The results demonstrate that from the first publication in 1981 to 2020, a total of 222 machine translation studies were published in the three journals. Machine translation research in Chinese translation studies displays the following characteristics and trends: accumulation of fundamental theories and technical groundwork during about 40 years of research; a diversity of research topics including method, tools, quality, education, and translating agents; and active research on new forms of machine translation, including big data and crowdsourced translation, as well as a shift from a technological to a techno-philosophical approach. (Ewha Womans University, South Korea)
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