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

中文翻译：

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基于Multiagent架构的英语在线学习词典系统的优化。

英语作为世界通用语言，在贸易全球化的今天已成为一种必不可少的语言交流工具。智能，高效，合理的英语语言辅助学习系统有助于进一步提高语言学习者的英语能力。英语在线学习词典作为英语学习者的重要查询工具，是英语在线学习的重要组成部分。本文将基于多主体架构优化英语在线学习词典系统的设计。基于混合多智能体协同算法，本文将解决在线英语学习词典系统的弊端，并提出适当的词典应用评估功能。同时，将改进的强化学习算法引入相应的英语在线学习词典导航问题中，以提高在线英语学习词典系统的效率。英语在线学习词典更加智能高效。本文提出了一种新的在线学习词典系统优化算法，并与传统的系统算法进行了比较。实验结果表明，本文提出的算法在一定程度上解决了英语学习在线词典的协同混乱问题，并进一步解决了相应的导航问题，从而提高了效率。英语在线学习词典更加智能高效。本文提出了一种新的在线学习词典系统优化算法，并与传统的系统算法进行了比较。实验结果表明，本文提出的算法在一定程度上解决了英语学习在线词典的协同混乱问题，并进一步解决了相应的导航问题，从而提高了效率。英语在线学习词典更加智能高效。本文提出了一种新的在线学习词典系统优化算法，并与传统的系统算法进行了比较。实验结果表明，本文提出的算法在一定程度上解决了英语学习在线词典的协同混乱问题，并进一步解决了相应的导航问题，从而提高了效率。