ABSTRACT
The development of globalization, the construction of the One Belt One Road, and the continuous deepening of exchanges and cooperation between countries have caused the demand for translation to continue to increase. In today's network environment, relying solely on manual translation can no longer meet this demand, so more and more people have done research on machine translation. Since the emergence of machine translation, its fast translation speed and declining cost have been favored by the whole society. In order to make machine translation more usable by people, computational linguists have been working to improve the accuracy of machine translation. This article aims to study the comparative analysis and future development of the application of machine translation and manual translation in the network environment. It mainly adopts the literature research method, questionnaire survey method, quantitative analysis method and qualitative analysis method, and comprehensively collects and organizes the literature in this area. Classification, research and summary, provide important knowledge, perspective and methodology accumulation for this article. Experimental research shows that most teachers and students believe that the quality of human translation is better than that of machine translation, and that machine translation will not replace human translation in the future.
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