基于语料库的兼类词隐性知识挖掘研究  

Research on the Tacit Knowledge Mining of Trans-classed Words Based on Corpus

作　　者：盛玉麒[1] Sheng Yuqi(School of Literature,Shandong University,Ji’nan 250100,China)

机构地区：[1]山东大学文学院,山东济南250100

出　　处：《现代语文》2020年第5期4-11,共8页Modern Chinese

摘　　要：运用基于语料库的知识挖掘方法,采用“二级标注”模式获得词类次范畴的类型信息,深入挖掘现代汉语兼类词的隐性知识,期待为语言教学与研究、语言信息处理、网络舆情分析等诸多领域的理论与实践提供积极的参考。Using knowledge mining method based on corpus,this paper uses the“secondary annotation”model for the type information of sub-categorization,dig into tacit knowledge of trans-classed words in modern Chinese,look forward to provide positive references for theories and practices in language teaching and research,language information processing,network public opinion analysis and other fields.

关 键 词：语料库 兼类词 隐性 知识挖掘 

分 类 号：H146[语言文字—汉语]