北京第二外国语学院学报 ›› 2019, Vol. 41 ›› Issue (5): 18-37.DOI: 10.12002/j.bisu.240

• 语言学研究(二语习得研究专栏 主持人:蔡金亭) • 上一篇    下一篇

国际结构启动研究的知识图谱分析(1986—2017)

王敏,甘桥   

  1. 西安交通大学外国语学院,710049
  • 收稿日期:2018-11-12 出版日期:2019-10-15 发布日期:2020-01-15
  • 作者简介:王敏,西安交通大学外国语学院,710049,研究方向:二语习得、心理语言学及基于语料库的学术语篇分析。电子邮箱:zjdxwm@126.com;|甘桥,西安交通大学外国语学院,710049,研究方向:二语习得。电子邮箱:aaron94@stu.xjtu.edu.cn
  • 基金资助:
    本文系2013年国家社会科学基金项目“结构启动在外语学习中的作用研究”(项目编号:13BYY069)

Structural Priming Studies in International Journals over the Past Three Decades(1986—2017):An Analysis Based on KMD

Min Wang,Qiao Gan   

  1. School of Foreign Studies, Xi’an Jiaotong University, Xi’an 710049, China
  • Received:2018-11-12 Online:2019-10-15 Published:2020-01-15

摘要:

结构启动(又称句法启动)是指人们在产出中倾向于重复使用先前使用或接触过的语言结构。经过30多年的发展,结构启动成为语言科学研究的热点之一。前人研究表明,结构启动既能够反映抽象表征,是研究语言加工机制的重要工具,又能够促进内隐学习和成功交际,对语言习得、语言交际、双语研究等具有很强的启发和借鉴意义。本文基于CiteSpace生成的可视化知识图谱,对国际结构启动研究文献进行了计量分析,系统考察了从1986年至2017年间结构启动论文发文量的变化、发文期刊、核心研究机构和高产作者的地区分布等,基于高共被引论文和关键词梳理了研究的核心议题及动态变化,并指出未来研究发展的趋势和方向。

关键词: 结构启动; 知识图谱; 语言表征; 协同; 内隐学习

Abstract:

Structural priming (also known as syntactic priming) refers to the ubiquitous phenomenon that when people talk or write, they tend to reuse previously used or contacted linguistic structures in their output. In the past thirty years, language sciences have been witnessing growing interest in structural priming. Evidence abounds that structural priming is a strong and versatile phenomenon which can reflect abstract representations and is an important tool for studying the mechanism of language processing. In addition, it has been found to have a potential role in facilitating language learning and successful communication. Thus, structural priming research has strong implications for various branches of language sciences like language acquisition, bilingualism and language communication. By using the bibliometric data of structural priming studies published in international journals from 1986 to 2017, this paper gives a comprehensive review of structural priming research based on the visualized knowledge map generated by CiteSpace. Specifically, it investigates chronical changes in the amount of publications, systematically examines the changes in the number of papers published, journals which are more ready to publish structural priming papers, core research institutions and prolific researchers in the field and combs the core issue discussed in the papers and their evolving patterns based on highly co-cited papers and key words. Directions for future research are also discussed.

Keywords: structural priming; Knowledge Mapping Domains (KMD); syntactic representation; alignment; implicit learning

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