高校英语写作误差智能诊断系统设计

Design of intelligent diagnosis system for college English writing errors

针对传统诊断系统在查找英语词汇耗时长,导致英语写作误差诊断效率低的问题,提出并设计了基于B/S架构与模糊理论结合的高校英语写作误差智能诊断系统。在给出高校英语写作误差智能诊断系统整体结构的基础上,对系统的硬件及软件进行优化设计。硬件设计过程中引入B/S架构弥补了C/S模式存在的诊断差错问题;在软件部分引入模糊理论,对英语写作误差存在的模糊问题进行处理。实验结果表明,采用改进系统时,其诊断过程中存在的英语词汇查询耗时、诊断过程中的分散情况均要优于传统诊断系统。

As the traditional diagnosis system has long time-consumption to find English words,leading to low diagnosis efficiency of English writing errors,an intelligent diagnosis system based on the combination of B/S architecture and fuzzy theory is proposed and designed for college English writing errors.On the basis of presenting the overall structure of the intelligent diag-nosis system for college English writing errors,optimization design for hardware and software of the system are conducted.In the process of hardware design,the B/S architecture is introduced to make up for the diagnosis error problem of the C/S mode.In the software part,the fuzzy theory is introduced to deal with the fuzzy problem of English writing errors.The experimental results show that,in comparison with the traditional diagnosis system,the improved system has shorter time consumption to find Eng-lish words and less diffusion in the diagnosis process.