English Intelligent Translation Software Framework Based on Deep Learning Algorithm

With the rapid development of the information age, the traditional living habits and behavior patterns of human society are gradually broken, and new things are constantly seeping into daily life. Since the 21st century, the popularity of smart phones and the comprehensive coverage of network services have enabled most regions of the world to enter the era of national mobile Internet. Driven by the rapid development of information technology and Internet technology, the integration of mobile phones and APP has brought about significant changes in social situations and disruptive changes in daily life. The main purpose of this paper is to study the construction of English intelligent translation software framework based on deep learning algorithm. Design and development of text analysis, backend server and mobile software for an English learning system. The main modules included setting up an English web server, importing raw data from the learning materials, setting up an Open fire chat server and database connection, establishing communication between MT and the web server, logical display of the learning material data, English listening and reading exercises, and communication between friends. Finally, it was found that the variability in response time did not increase significantly with the number of users, but showed a very moderate upward trend. The test results show that the system structure, code logic and code optimisation meet the requirements of the proposed project and satisfy the users' requirements.