English Machine Translation Model Based on Modern Intelligent Recognition Technology

The statistical machine translation method based on the maximum entropy is adopted. The best combination mode of different English language features is obtained after obtaining related parameters by means of direct maximum entropy model training, so as to resolve the problem of part of structural ambiguity in the massive English language, and improve the accuracy of English machine translation. The experimental results show that the designed English machine translation model has high translation accuracy and stability.