Co-word analysis and bibliometric visualization of translation quality literature: research topics and trends in the Chinese mainland (1997–2016)

IF 0.7 0 LANGUAGE & LINGUISTICS Asia Pacific Translation and Intercultural Studies Pub Date : 2018-09-02 DOI:10.1080/23306343.2018.1528750
Zhanhao Jiang, Yuan Tao
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引用次数: 4

Abstract

Recent years has seen a steady development of translation quality research. This paper, with the help of Bicomb (for co-word analysis), UCINET(for social network analysis), and SPSS21.0 (for cluster analysis), has made a detailed exploration of papers on translation quality in CNKI (China National Knowledge Infrastructure) in terms of the number of papers, journal distribution, high-frequency key words, and diachronic change of key words that may help to reflect research topics and trends in the Chinese mainland in the past two decades. It also offers recommendations for further study and provides some insights for researchers on translation quality.
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翻译质量文献的共词分析与文献计量可视化:中国大陆的研究主题与趋势(1997-2016)
近年来,翻译质量研究稳步发展。本文借助Bicomb(共词分析)、UCINET(社交网络分析)和SPSS21.0(聚类分析),从论文数量、期刊分布、高频关键词、关键词历时变化等方面对中国知网(CNKI)中关于翻译质量的论文进行了详细的探讨,这些研究可能有助于反映中国大陆近二十年的研究主题和趋势。本文还提出了进一步研究的建议,并为研究翻译质量的学者提供了一些见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
25.00%
发文量
19
期刊最新文献
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