外国文学大数据与自主知识体系断想  

The Big Data of Foreign Literature and A Chinese Intellectual System

作　　者：陈众议 Chen Zhongyi(Hu’nan Normal University,Changsha 410081,China)

机构地区：[1]湖南师范大学

出　　处：《外国文学研究》2024年第5期15-18,共4页Foreign Literature Studies

摘　　要：第四次工业革命浪潮滚滚而来,建立在大数据和大模型基础上的人工智能迭代发展,一日千里。然而,反顾语言文学学科便不难发现,我们几乎没有像样的数据库。外国语言文学学科更是如此,从经典作家作品,到有关研究资料,皆散沙般存在于各种平台,且大多数著作尚流于纸质载体。与此同时,语言文学无用论甚嚣尘上。于是,与自主知识体系密切关联的两个问题便难以回避:一、轻视语言文学如何传承和发展文化?二、缺乏大数据如何在AI时代创建自主知识体系?As the Fourth Industrial Revolution is rolling in,the iterative development of AI based on big data and big models is advancing rapidly.However,when we look back at the field of language and literature,it is not difficult to find that we hardly possess any comprehensive databases.This issue is particularly pronounced in the field of foreign languages and literatures,where classic works by authors and relevant research materials are scattered across various platforms,with most still confined to print media.Simultaneously,the notion that language and literature are useless is rampant.Consequently,two questions,closely related to the establishment of a Chinese intellectual system,become unavoidable:first,how can we inherit and develop culture by devaluing language and literature?Secondly,how can we establish a Chinese intellectual system in the AI era without big data?

关 键 词：外国语言文学 大数据 自主知识体系 

分 类 号：I106[文学—世界文学]