Diverse English Translation Teaching Strategies from the Perspective of Computer-Aided Technology

The era of globalization has accelerated international cultural exchange, and English translation has become an important way of cross-cultural communication, and machine translation has the advantages of low cost, fast speed and high efficiency, and has important application value, especially in the field of English translation teaching, and has great potential for application. However, machine translation technology is still difficult to reach the level of human translation, and it is necessary to apply neural network model to optimize the machine translation process and innovate the English translation teaching mode. In this paper, we firstly identify the problems of five neural network machine translation models, and secondly an application path of migration learning techniques for machine translation tasks with scarce corpus data resources is presented to avoid the overfitting problem and thus improve the capability of end-to-end neural network machine translation models. The research results have important implications for optimizing and expanding the English translation teaching model. © 2022 CAD Solutions, LLC, http://www.cad-journal.net.