现代信息科技2024，Vol.8Issue(13)：146-150,155,6.DOI:10.19850/j.cnki.2096-4706.2024.13.029
古汉语NLP研究现状综述(2009-2024)
The Overview of Research Status for NLP Research in Ancient Chinese(2009-2024)
摘要
Abstract
This paper provides an overview of the current research status in the field of Natural Language Processing(NLP)of ancient Chinese,especially the progress in downstream tasks.By analyzing 23 relevant papers from 2009 to 2024,the paper points out the challenges faced by NLP in ancient Chinese and explores research methods and achievements including sentence breaks and punctuation,word segmentation,part of speech tagging,named entity recognition,and other tasks.The research finds that although there are differences in NLP tasks between ancient and modern Chinese,the development of technologies such as Deep Learning has provided new avenues for ancient Chinese text processing.This paper also discusses the potential of multi-task integration research and looks forward to future development trends,emphasizing the importance of constructing structured datasets and their promoting role in domain development.关键词
古汉语/自然语言处理/下游任务/研究现状综述Key words
ancient Chinese/natural language processing/downstream task/overview of research status分类
信息技术与安全科学引用本文复制引用
劳斌,彭瑶,吕薇,植思喆..古汉语NLP研究现状综述(2009-2024)[J].现代信息科技,2024,8(13):146-150,155,6.基金项目
广东省哲学社会科学规划项目(GD22CTS02) （GD22CTS02）
广东省基础与应用基础研究基金项目(2023A1515012817) （2023A1515012817）
