It is proved that the system has high performance in improving the accuracy and recall rate of machine English translation. In this paper, on the basis of the segment analysis, the human-machine cooperation translation strategy of human-machine cooperation with complementary human-machine advantages was discussed, and the system designed was verified. According to the characteristics of segment analysis and human-computer interaction mechanism, from the network, a wealth of information are available from open sources. The main work of this paper is to analyze the existing interactive machine translation technology, especially the interactive machine translation based on a phrase model, using the Internet of Things as a knowledge source. The emergence of high-efficiency and high-economic machine translation solves these difficulties, and the interactive English translation system is the current research hotspot, which is intended to improve the output translation quality of the English translation system. Driven by economic globalization and the development of the Internet, information is growing rapidly, and there are more and more exchanges and exchanges between countries. Language is the medium of communication between people. The Internet of Things is an important part of the new generation of information technology.

Nowadays, with the rapid development of science and technology, information technology has gradually become the cornerstone of the development of other technologies.

Information technology has penetrated into all aspects of human life.

English trainslation