PDF(2459 KB)
PDF(2459 KB)
PDF(2459 KB)
国际语料库语言学研究热点与前沿的信息可视化分析
Information Visualization Analysis on the Research Hot Spots and Frontiers of International Corpus Linguistics
[目的/意义] 本研究旨在更好地把握近几年国际语料库研究发展的整体脉络和研究成果，厘清该领域研究的热点问题，探索其研究的前沿。[方法/过程] 以Web of Science核心数据库所收录国际期刊在2005-2017年间所刊载的研究性论文作为数据来源，借助BICOMB、Ucinet6和CiteSpace软件对语料库相关研究数据从文献数量与年代分布、来源期刊、研究主体、国家和地区分布、研究机构、被引文献等方面进行计量和知识图谱分析。[结果/结论] 通过分析发现，国际语料库语言学的研究对象涉及到更多语种和文类，并越来越呈现出跨学科、多角度的特点。持续关注的研究热点包括搭配和词典编撰，新热点包括专门用途语言、学术英语、性别、身份、隐喻及话语分析，与构式语法、认知语言学等的结合是研究前沿。
[Purpose/significance] This paper aims at grasping the overall context and research findings of international corpus research in recent years, clarifying the hot spots and exploring the research frontiers in this field. [Method/process] It took the research papers published between 2005 and 2017 in Web of Science as data source, and made calculate analysis and knowledge domains map on these data through the softwares including BICOMB, Ucinet6 and CiteSpace from the following aspects：publication numbers and chronological distribution, source journals, research subjects, national and regional distribution, research institutions and cited literature. [Result/conclusion] It found that corpus study presents the characteristics of interdisciplinary and multi-angle, and it’s research objectsinvolve more languages and literature genre. Collocation and lexicography keep being important studies while special purpose language, academic English, gender, identity, metaphor and discourse analysis turn into new research hotspots, and the combination with construction grammar and cognitive linguistics are the research frontiers.
语料库 / 可视化分析 / BICOMB / Ucinet6 / CiteSpace
corpus / visualized analysis / BICOMB / Ucinet6 / CiteSpace
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