Optimization of English Online Learning Dictionary System Based on Multiagent Architecture

As a universal language in the world, English has become necessary communication tool under globalization of trade. Intelligent, efficient, and reasonable language-assisted learning system helps to further improve ability learners. online dictionary, as an important query for learners, is part learning. This paper will optimize design dictionary based on multiagent architecture. Based hybrid cooperative algorithm, this disadvantages propose appropriate application evaluation function. At same time, improved reinforcement algorithm introduced into corresponding navigation problem so efficiency system. more intelligent efficient. In paper, new optimization proposed compared with traditional algorithm. The experimental results show that solves collaborative confusion certain extent efficiency.