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Machine translation and emergency language service, two fields that have grown rapidly in recent years, have many points of intersection. MTPE applications are increasingly being used in the language service industry, giving the language service industry more room for development and advantages. Emergency language service are gaining more and more attention after the pandemic, and the MTPE model can accelerate the construction and improvement of emergency language services. This thesis focused on the application of MTPE in emergency language service and analyses the advantages that the MTPE model brings to emergency language services at both the linguistic and functional levels. The translator translated a report on the new vaccine for COVID- 19 as a sample emergency language service product under the MTPE model, and a survey is then conducted in the form of questionnaire asking recipients to read the translation and give feedback. Through a questionnaire survey and a study of the translation, this thesis summarizes the shortcomings that still exist in machine translation, and some specific feasible post-editing strategies, suggesting that we should not rely too much on machine translation progress but rather enrich post-editing strategies.
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Jingjing Liu (2024) studied this question.
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