中文摘要：

传统的在线考试系统对客观题的评判较好,但不能进行主观题的判断,因此也就不能给学生及时答复,无法减轻教师的阅卷负担。中文语义相似度是通过对文本进行分词、过滤掉停用词后计算语义相似度和语法相似度,再由两者的加权平均计算得出。目前中文相似度主要应用于信息检索、自动问答、自然语言处理、数据挖掘等领域,还可以将中文语义相似度的方法应用于在线考试系统中。本文通过对“一种用于中文文本查重的双因子相似度计算”进行改进,实现了两文本的语义相似度的计算,然后将其应用于在线考试系统的主观题评判上。智能考试系统实现了智能考试与阅卷,扩大了语义相似度的应用范围,节约了教育的成本,减轻了教师阅卷的负担,提高了教学效率。

英文摘要：

The traditiunal online examination system judges the objective questions better, but it can not judge the subjective questions, so it can not give tile student timely reply and can not alleviate the burden of the teaehers. Semantic similarity of Chinese is calculated by word segmentation, fihering out stop words, and calculating the semantic similarity and grannnatical similarity, and then calculating the weighted average of them. At present, Chinese similarity is mainly used in information retrieval, automatic question answering, natural language processing, data mining and other fields. However, the method of Chinese semantic similarity can also be applied to online ex- amination system. In this paper, we improve the semantic similarity of two texts by improving the ＂two - factor similarity measure＂ for checking the weight of Chinese text, and then apply it to judge the subjective questions of online examination system. The intelligent on- line examination system achieves intelligent examination and marking, expands the application of semantic similarity, saving the cost of education, reducing the burden of teachers marking, improve teaching effectiveness.