语料库语言学的研究趋势

IF 1.6 2区 文学 N/A LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2022-11-14 DOI:10.1075/ijcl.21072.cro
P. Crosthwaite, Sulistya Ningrum, M. Schweinberger
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引用次数: 1

摘要

本文采用文献计量分析法绘制了过去20年来语料库语言学在艺术和人文学科中的研究领域,基于429种Scopus索引期刊中5829篇语料库相关文章的元数据,跟踪了热门语料库研究主题、渠道、高引引引作者和地理起源的变化。结果显示,语料库辅助的话语研究、词汇束和学术写作以及包括多语和社交媒体在内的新话题有所增加。CL研究涉及193种语言/方言,在过去十年中,汉语、俄语、西班牙语和意大利语的CL研究显著增加。被高度引用的CL研究人员集群被确定为跨越(跨)学科研究领域。中国、波兰、韩国、日本等地CL研究人员的增加证明了CL研究的全球影响力。这些发现反映了应用语言学和社会的历时性社会文化发展,并为CL研究的下一步提供了见解。
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Research trends in corpus linguistics
This paper uses a bibliometric analysis to map the field of Corpus Linguistics (CL) research in arts and humanities over the last 20 years, tracking changes in popular CL research topics, outlets, highly cited authors, and geographical origins based on the metadata of 5,829 CL-related articles from 429 Scopus-indexed journals. Results reveal an increase in corpus-assisted discourse studies, lexical bundles and academic writing, alongside newer topics including multilingualism and social media. CL studies span 193 languages/dialects with a significant rise in Chinese, Russian, Spanish, and Italian CL research over the past decade. Clusters of highly cited CL researchers are identified spanning (inter)disciplinary research areas. An increase of CL researchers in China, Poland, South Korea, Japan, and more is evidence of the now global reach of CL research. These findings mirror diachronic socio-cultural developments in applied linguistics and society more generally and provide insights into what CL research might come next.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
期刊最新文献
Review of Durrant (2023): Corpus linguistics for writing development Assessing the potential of LLM-assisted annotation for corpus-based pragmatics and discourse analysis Case and agreement variation in contact A user-friendly corpus tool for disciplinary data-driven learning Review of Flach & Hilpert (2022): Broadening the spectrum of corpus linguistics: New approaches to variability and change
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