Multi-Objective Optimization Routing Algorithm in French Machine Translation System Design

Multi-objective optimal routing algorithm is widely used in various fields as one of the functional technologies to effectively improve the speed and accuracy of information transmission. In order to solve many unpredictable factors in the translation process, this paper designs a machine learning method to program and test the system accurately and efficiently. This paper mainly uses the method of experimental comparison and analytic hierarchy process to study the multi-objective optimization routing algorithm and the design of French machine translation system. The experimental data shows that the translation accuracy of the system is 85%, which is far higher than the performance of the current translation system.