A Comparative Study of Language Planning in Specific Domains in Chinese and International Journals (2002–2017)

Author:

Shen Qi,Guo Shujian

Abstract

Recent years have witnessed a surge of interest in language planning in specific domains (e.g. business, courts, science, schools, communities, families, etc.). This paper reviews 356 articles on language planning in specific domains in four preeminent international journals and four leading Chinese journals to develop a portrayal of scholarly endeavors over the past 15 years. By a systematic analysis of domains, geographical distribution, and choice of methodology, this review identifies the global and local foci of studies published in international and Chinese journals. The findings suggest that approaches to language planning vary, as the Chinese literature tends to project a top-down model whereas international research mostly reflects a bottom-up perspective focusing on the role of individual agency. The findings highlight the integral role of language planning as one of the emerging fields in applied linguistics, and discusses future directions that Chinese research in language policy and planning could take to enable more interactions with international academia.

Publisher

Universidad Complutense de Madrid (UCM)

Subject

Linguistics and Language,Language and Linguistics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

2. Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

3. Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback;2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2021-06

4. National Research Funding for Sustainable Growth in Translation Studies as an Academic Discipline in China;Sustainability;2020-09-04

5. A comprehensive survey of anomaly detection techniques for high dimensional big data;Journal of Big Data;2020-07-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3