Application of Computer Aided Intelligent Translation in English Training System

In this paper, an English machine translation system based on human-computer interaction enhancement algorithm is designed. The hardware part uses the sub board as the processing core. Design Internet data controller. An 8b/10b translation decoder was used to implement the automatic translation process. The software part recognizes ambiguous words and builds ambiguous word matching function. English translation rules are formed by automatically matching the best meaning of ambiguous words. The M1 model is used to calculate the possible pairing probability between words in parallel corpora. The EM algorithm is used to obtain the maximum value of parameters under unknown data condition. The experimental results show that the proposed model has better performance than the existing methods, and can better meet the actual demand.