基于改进AHP和模糊理论的小型语料库评测研究  

Study on Evaluation of Small-scale Corpus Based on Improved AHP and Fuzzy Theory

作　　者：贺娜娜[1] 朱红磊[1] 李苹[1] He Nana;Zhu Honglei;Li Ping(Henan University of Chinese Medicine,Zhengzhou,Chian)

机构地区：[1]河南中医药大学,河南郑州

出　　处：《科学技术创新》2023年第25期120-123,共4页Scientific and Technological Innovation

基　　金：河南省软科学研究计划项目(232400410445)。

摘　　要：基于小型语料库评测研究的空白,建立了基于改进AHP和三级模糊综合评价模型的小型语料库的评测模型;为了验证基于改进AHP和三级模糊综合评价模型的有效性,以课题组构建的小型语料库为实例进行分析。结果表明:该小型语料库的评测等级为中等,与实际情况相符合,需要进一步对该小型语料库进行完善。为其它小型语料库的评测提供一定的理论参考。A small-scale corpus evaluation model is proposed based on improved AHP(Analytic Hierarchy Process)and the Fuzzy theory aiming at filling in the study gaps of small-scale corpus.The small-scale corpus constructed by research group was analyzed as an example in order to verify the effectiveness of AHP and three-level fuzzy comprehensive evaluation model.The results reveal that the evaluation level of the small-scale corpus is medium,which was consistent with the actual situation,and the small-scale corpus was needed to further refine.The conclusion can provide some theoretical reference for the evaluation of other small-scale corpus.

关 键 词：小型语料库 指标 改进AHP 模糊理论 评测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]