Design of Immersive Intelligent Translation Software based on Multi-Agent Algorithm

Abstract

Firstly, the multi-agent network is divided into several communities based on the hierarchical clustering algorithm; secondly, a node importance evaluation algorithm is proposed. Chinese sentences are automatically segmented and imported into the database, and finally the construction of a large-scale English-Chinese bilingual parallel corpus is completed. A new combinatorial optimization method, the combinatorial optimization multi-agent evolutionary algorithm, is proposed. This method fixes the agents on the grid, and each agent competes with its neighbors to increase its energy. The bottleneck in the development of machine translation, computer-aided translation and other technologies is expounded, and the ideas for solving the problem are given and an empirical analysis is carried out.