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.

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.

[1] Introna, L. D. The Enframing of Code: Agency, originality and the plagiarist. Theory Culture & Society, 2011, 28(6):113-141. https://doi.org/10.1177/0263276411418131

[2] Shahhoseiny H. A Study of Errors in the Paragraph Writing of EFL Learners: A Case Study of First Year Translation Students at University of Applied Science and Technology in Bushehr, Iran. Embo Reports, 2015, 5(6):1307. https://doi.org/10.17507/tpls.0506.26

[3] Figar S , Aliperti V , Taliercio V , et al. P1-423Assessment of influenza outbreaks using a private healthcare information system: an analysis of the 2009 H1N1 epidemic in Buenos Aires. Journal of Epidemiology & Community Health, 2011, 2(1):75-85. https://doi.org/10.1136 /jech.2011.142976g.13

[4] Brenner L A, Homaifar B Y, Adler L E, et al. Suicidality and veterans with a history of traumatic brain injury: precipitants events, protective factors, and prevention strategies.. Rehabilitation Psychology, 2009, 54(4):390. https://doi.org/10.1037/a0017802

[5] Ernest, Sternberg. Planning for Resilience in Hospital Internal Disaster. Prehospital & Disaster Medicine, 2003, 18(4):291-299. https://doi.org/10.1017/S1049023X00001230

[6] Liu J, Kim J , Colabianchi N , et al. Co-varying Patterns of Physical Activity and Sedentary Behaviors and Their Long-Term Maintenance Among Adolescents. Journal of Physical Activity & Health, 2010, 7(4):465. https://doi.org/10.1123/jpah.7.4.465

[7] Szakács, Alexandru, Pécskay, Zoltán, Silye, Lóránd, et al. On the age of the Dej Tuff, Transylvanian Basin (Romania). Geologica Carpathica, 2012, 63(2):139-148. https://doi.org/ 10.2478/v10096-012-0011-9

[8] Fink E M. Post-Realism, or the Jurisprudential Logic of Late Capitalism: A Socio-Legal Analysis of the Rise and Diffusion of Law and Economics. Social Science Electronic Publishing, 2007, 55(4):931.

[9] Noland R B, Quddus M A, Ochieng W Y. The effect of the London congestion charge on road casualties: an intervention analysis. Transportation, 2008, 35(1):73-91. https://doi.org/10.1007/ s11116-007-9133-9

[10] Gare G. A history of project management models: From pre-models to the standard models. International Journal of Project Management, 2013, 31(5):663-669. https://doi.org/10.1016 /j.ijproman.2012.12.011