文献类型：期刊文献

英文题名：The Identification and Classification of Abnormal Collocations in Network Micro-language

作者：Wang, Mengxiang[1]; Cao, Cheng[2]

第一作者：汪梦翔

机构：[1] Beijing Union University, Teachers' College, Beijing, China; [2] Three Gorges University, The College of Electrical Engineering and New Energy, Yichang, China

第一机构：北京联合大学师范学院

通讯机构：[1]Beijing Union University, Teachers' College, Beijing, China|[1141711]北京联合大学师范学院;[11417]北京联合大学;

年份：2024

起止页码：247-250

外文期刊名：Proceedings of 2024 International Conference on Asian Language Processing, IALP 2024

收录：EI(收录号：20243917109687)

语种：英文

外文关键词：Classification (of information) - Economic and social effects

摘要：Abnormal Collocations, a significant aspect of the network Micro-language, challenge the traditional linguistic norms while embodying the creativity and vitality of internet culture. Utilizing a robust semantic knowledge base, this study conducts a systematic analysis of abnormal Collocations in online micro-language, identifying their formation mechanisms and manifestations. Based on this analysis, this paper proposes a targeted approach for the identification and handling of abnormal collocations. The experiments have shown that the construction of relevant knowledge bases and the classification processing of abnormal collocations can significantly improve the accuracy of identifying abnormal collocations. The research offers novel perspectives and insights into the field of network linguistics. ? 2024 IEEE.