国内外二语语块研究:热点、演进与展望——基于CiteSpace的知识图谱分析
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G 353.1; H 09

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上海市教委高层次人才项目(5123305001)


Research on L2 Lexical Chunks: Hotspots, Evolution and Prospect——Knowledge Graph Analysis Based on CiteSpace
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    摘要:

    使用CiteSpace 5.7.R5,对1998—2022年国内外核心期刊中的二语语块研究论文进行知识图谱分析,以厘清核心主题和研究前沿,对比国内外研究的异同,并分析未来发展趋势。研究发现,国内外二语语块研究呈现多领域、跨学科、稳步发展的特点,并以二语习得与教学为主要聚焦点,近年来具有语料库分析法占主导地位的研究趋势。国内外区别在于:国外研究热点层层递进、推陈出新,更注重对学习者个体差异、辞典编纂和文本标注与分类以及语块的心理表征与加工优势的探讨,且计算语言学、心理语言学以及神经语言学相结合的研究范式呈上升趋势;国内研究热点相对孤立、缺乏传承性,仍停留于探索语块的使用特征和测量学习者语块水平的阶段。建议国内研究者进一步开展针对二语语块研究的跨学科交叉验证,以增加二语语块研究的广度和深度。

    Abstract:

    In order to spot key topics in research frontier and compare the similarities and differences between domestic and foreign research, this study conducts a knowledge graph analysis of research papers on L2 lexical chunks from Chinese and foreign core journals during 1998-2022 with CiteSpace5.7.R5, and depicts future development trends. It is identified that related research presents an increase in various fields and interdisciplines and stable development with focus on second language acquisition and teaching. A predominant corpus-based analysis is the recent research trend in Chinese and foreign research. Foreign research shows progressive and innovative hotspots which are more concerned with individual differences of learners, dictionary compilation and text classification and annotation, as well as psychological representation and processing of lexical chunks. Moreover, research methods of foreign research combine computational linguistics, psycholinguistics and neurolinguistics. In contrast, domestic research hotspots are sporadic and disconnected, exploring the use of lexical chunks and measuring the lexical chunks proficiency of learners. Therefore, it is suggested that domestic researchers further interdisciplinary validation of L2 lexical chunks studies so as to expand the width and depth of research on L2 lexical chunks.

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刘芹,俞璐.国内外二语语块研究:热点、演进与展望——基于CiteSpace的知识图谱分析[J].上海理工大学学报(社科版),2024,46(5):434-443.

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  • 收稿日期:2023-05-13
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  • 在线发布日期: 2024-10-28
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