Shi Lin, DuJiang Minne, Gao Ping
Xi'an University of Architecture and Technology, Xi'an, China.
PeerJ Comput Sci. 2023 Oct 6;9:e1608. doi: 10.7717/peerj-cs.1608. eCollection 2023.
Various forms of materials, such as pictures, videos and texts, have rapidly brought the college English translation teaching model into the era of multimedia integration. This makes it difficult for English teachers to improve college English translation by using unique materials, so as to form their own unique teaching style. In view of this, a multimedia comprehensive English translation framework based on the combination of big data technology and multimedia teaching mode is proposed. At the same time, the idea of building the framework is introduced from two perspectives: the integration of big data technology and multimedia, and the integration of multimedia and English teaching process. Then, a recursive neural network algorithm based on ant colony optimization algorithm is proposed and tested. Finally, the simulation results show that the proposed method has significantly improved the accuracy and retention rate, indicating the effectiveness of the framework.
各种形式的材料，如图像、视频和文本，已迅速将大学英语翻译教学模式带入多媒体融合时代。这使得英语教师难以通过使用独特的材料来提高大学英语翻译水平，从而形成自己独特的教学风格。鉴于此，提出了一种基于大数据技术与多媒体教学模式相结合的多媒体综合英语翻译框架。同时，从大数据技术与多媒体的融合以及多媒体与英语教学过程的融合两个角度介绍了构建该框架的思路。然后，提出并测试了一种基于蚁群优化算法的递归神经网络算法。最后，仿真结果表明，所提方法显著提高了准确率和保留率，表明了该框架的有效性。
