CAJ | 학술논문

计算语句的类似度在自动问答、机器翻译、信息检索和自动等算法中有着非常重要的作用。首先归纳了语句类似度计算的方法，综合考虑关键词特征、语义特征、句式特征和语句长度特征等信息并提出一种优化语句类似度计算方法，以语句权重计算方法以及冗余处理优化处理为基础，实现一个改进的自动算法。通过在DUC的测评语料上进行仿真，实验结果证明了该算法对于质量优化的高效性。最后，讨论了自动研究存在的问题，并指出自动的研究趋势。
계산어구적유사도재자동문답、궤기번역、신식검색화자동등산법중유착비상중요적작용。수선귀납료어구유사도계산적방법，종합고필관건사특정、어의특정、구식특정화어구장도특정등신식병제출일충우화어구유사도계산방법，이어구권중계산방법이급용여처리우화처리위기출，실현일개개진적자동산법。통과재DUC적측평어료상진행방진，실험결과증명료해산법대우질량우화적고효성。최후，토론료자동연구존재적문제，병지출자동적연구추세。
Calculating the sentence similarity plays an important role in algorithms of automatic question-answering, machine-translation, information retrieval and automatic abstracting , etc.In this article, firstly we sum up the methods of calculating the sentences similarity , and then bring forward a new method of optimising the sentences similarity calculation by synthetically taking into consideration the information in -cluding key words characters, semantic characters, sentential form characters and sentence length characters , etc.Moreover, we implement an improved automatic abstracting algorithm on the basis of sentences weight computation and redundancy resolution optimisation .Through the simulation on DUC evaluation corpuses , the experimental result proves the efficiency of this algorithm in abstracting quality optimisation .In end of the paper , we discuss the problems existed in automatic abstracting research and point out the studying trend of this technology as well .