Corpus Linguistics Research Trends from 1997 to 2016: A Co-Citation Analysis

IF 0.4 0 LANGUAGE & LINGUISTICS Linguistic Research Pub Date : 2017-12-01 DOI:10.17250/KHISLI.34.3.201712.008
Hyejin Park, Daehyeon Nam
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引用次数: 14

Abstract

Park, Hyejin and Daehyeon Nam. 2017. Corpus linguistics research trends from 1997 to 2016: A co-citation analysis. Linguistic Research 34(3), 427-457. Corpus linguistics is one of the fastest growing areas of linguistics because of its interface with neighboring academic disciplines and the data-processing capability of a large amount of empirical linguistic data. This study reviews research trends from the last two decades within the corpus linguistics fields. Specifically, the study applied systematic citation analysis procedures to summarize and identify the salient research themes and publications from citation-reference data of peer-reviewed research articles published and indexed in the Web of Science (WoS) between 1997 and 2016. The co-citation analysis of 5,600 research articles and their 172,352 references indicated that, over the four time spans of five years, the corpus linguistics research articles have cited works ranging from general linguistics journal titles to specialized journal titles and individual books. In terms of the research themes of corpus linguistics, the topics of the linguistics research have rapidly changed over the time spans. More recently, the development of web-based large monitor corpora and corpus analysis software has contributed significantly to the dynamic and productive interaction of research in the discipline. This may indicate the evolving and juvenile nature of corpus linguistics and its possibility of growing into a multi-disciplinary field. Although there are exceptions to all of the research patterns found in the co-citation analysis, the current study also discusses the most up-to-date research trends and the future directions of corpus linguistics. (University at Albany, SUNY · Ulsan National Institute of Science and Technology)
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1997 - 2016年语料库语言学研究趋势:共被引分析
朴槿惠和南大惠。2017.1997年至2016年语料库语言学研究趋势:共引分析。语言学研究34(3),427-457。语料库语言学是语言学发展最快的领域之一,因为它与邻近的学术学科有接口,并且具有大量经验语言学数据的数据处理能力。本研究回顾了近二十年来语料库语言学领域的研究趋势。具体而言,该研究应用了系统的引文分析程序,从1997年至2016年间在科学网(WoS)上发表和索引的同行评审研究文章的引文参考数据中总结和确定了突出的研究主题和出版物。对5600篇研究文章及其172352篇参考文献的共引分析表明,在五年的四个时间跨度中,语料库语言学研究文章引用了从一般语言学期刊标题到专业期刊标题和个别书籍的作品。就语料库语言学的研究主题而言,语言学研究的主题随着时间的推移而迅速变化。最近,基于网络的大型监控语料库和语料库分析软件的开发为该学科研究的动态和富有成效的互动做出了重大贡献。这可能表明语料库语言学的发展和幼稚,以及它发展成为一个多学科领域的可能性。尽管在共引分析中发现的所有研究模式都有例外,但本研究也讨论了语料库语言学的最新研究趋势和未来方向。(奥尔巴尼大学,纽约州立大学·蔚山国立科学技术研究所)
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来源期刊
Linguistic Research
Linguistic Research LANGUAGE & LINGUISTICS-
CiteScore
0.80
自引率
16.70%
发文量
0
期刊介绍: Linguistic Research is an international journal which offers a forum for the discussion of theoretical research dealing with natural language data. The journal publishes articles of high quality which make a clear contribution to current debate in all branches of theoretical linguistics. The journal embraces both synchronic and diachronic perspectives, and carries articles that address language-specific as well as cross-linguistic and typological research questions. The journal features syntax, semantics, morphology, phonology, phonetics, and pragmatics and is currently published quarterly (March, June, September, and December), including the special September issue with a particular focus on applied linguistics covering (second) language acquisition, ESL/EFL, conversation/discourse analysis, etc. All submitted manuscripts are subject to initial evaluation by the Editors, and, if found suitable for further consideration, to double-blind peer review by independent expert referees.
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