International Journal of Multimedia Computing, 2022, 3(2); doi: 10.38007/IJMC.2022.030202.
School of Foreign Languages, Nanchang Institute of Technology, Jiangxi 330099, China
Today, as the world enters the age of informationization and digitalization, big data technology has become a key area of cooperation and development between China and foreign countries, and friction is inevitable when the language is not interchangeable, and foreign-related major public crisis events are major public crisis events involving foreign countries, which can easily lead to greater disasters if not handled properly, so it is very important to pay attention to the translation problems and propose countermeasures in this field. The purpose of this paper is to study the translation of terminology of big data technology in the handling of foreign-related public crisis events. This paper uses the research methods of description, induction and comparison to analyze the real corpus, mainly to further promote linguistic analysis of the terminology of foreign-related public crisis event handling in the context of big data. The paper analyzes and summarizes the patterns of terminology through individual cases, helping to identify accurate expressions and deepen the understanding of the field. The experimental results show that the accuracy rate of finding the terminology of foreign-related public crisis events through web pages and online dictionaries simultaneously reached 93%, indicating that the method and system of automatically obtaining terminology translation through web pages and online Chinese-English dictionaries under big data has good accuracy and the system is less time-consuming and more practical.
Big Data, Foreign-Related Public Crisis Events, Terminology Translation, Automatic Acquisition
Yonghe Xiao. Big Data in the Translation of Terminology for Foreign-Related Public Crisis Events. International Journal of Multimedia Computing (2022), Vol. 3, Issue 2: 8-15. https://doi.org/10.38007/IJMC.2022.030202.
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