基于大数据的语言治理研究:内涵、方法与应用

Big Data-based Language Governance Research:Implications,Paradigms and Application Prospects

郭书谏 李晓阳

基于大数据的语言治理研究:内涵、方法与应用

Big Data-based Language Governance Research:Implications,Paradigms and Application Prospects

郭书谏 1李晓阳1
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作者信息

  • 1. 同济大学 语言规划与全球治理研究中心,上海 200092
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摘要

以ChatGPT为代表的AI语言大模型和大数据的迅速发展,给语言治理带来了新的挑战,同时也为中国自主的语言治理理论体系建构提供了重要契机.本文回顾了语言规划理论发展史,评述国外语言规划理论的局限性和未来"数据转向"的可能性,论证了大数据和语言治理的关系,界定了基于大数据语言治理的内涵和方法论依据,探讨了语言大数据在不同领域语言治理的应用前景,提出在构建中国语言政策与规划知识体系的过程中,应充分运用大数据优势,避免国外语言治理理论的窠臼,推进语言治理研究的数据转向,充分阐释中国的语言治理和社会治理成效,深刻体现中国式现代化的科学内涵.

Abstract

The rapid development of AI language models and big data,exemplified by ChatGPT,po-ses new challenges to language governance and provides a significant opportunity for the construction of an indigenous theoretical framework for language governance in China.This paper reviews the his-torical development of the language planning theory,points out the limitations of foreign language planning theories,and explores the possibilities of a future"data-oriented"approach.The paper ex-pounds the relationship between big data and language governance,reveals the connotations and methodological foundations of language governance based on big data,discusses the prospects of ap-plying the big data of a given language in language governance across various domains,and proposes leveraging the advantages of big data in the process of constructing the knowledge system for the Chi-nese language policy and planning.The paper advocates breaking free from the constraints of foreign language governance theories,advancing the data-oriented shift in the research on language govern-ance,and fully illustrating the effectiveness of China's language governance and social governance,thereby profoundly manifesting the scientific implications of Chinese-style modernization.

关键词

大数据/语言教学/语言治理/人工智能/ChatGPT

Key words

big data/language teaching/language governance/artificial intelligence/ChatGPT

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基金项目

国家社会科学基金(20BYY061)

国家语委重点项目(ZDI145-11)

教育部人文社会科学研究青年基金(23YJC740016)

出版年

2024
云南师范大学学报(哲学社会科学版)
云南师范大学

云南师范大学学报(哲学社会科学版)

CSSCICHSSCD北大核心
影响因子:1.025
ISSN:1000-5110
参考文献量17
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