语言学与应用语言学

语义密度、句法复杂度与学科知识编码

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  • 1.北京大学,北京,100871
    2.西华师范大学, 南充,637002
高彦梅,北京大学外国语学院研究员、长聘副教授、博士生导师。主要研究方向为系统功能语言学、语义学、学科话语研究。电子邮箱:gaoym@pku.edu.cn;|周江平,西华师范大学外国语学院讲师、北京大学外国语学院外国语言学及应用语言学研究所博士生。主要研究方向为系统功能语言学、语法隐喻、语料库语言学。

网络出版日期: 2022-12-02

基金资助

*本文系2020年北京市社会科学基金规划项目一般项目“学科英语研究的语法隐喻视角”编号20YYB007的阶段性成果。感谢匿名评审专家的修改建议。

Semantic Density, Syntactic Complexity and Disciplinary Knowledge Coding

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Online published: 2022-12-02

摘要

语义密度和句法复杂度揭示学科知识编码属性和学科文化特征。本研究通过对比分析中国本科生、研究生、学者和本族语作者学术论文摘要中语义密度和句法复杂度的分布,探索语义密度和句法复杂度作为学科知识编码水平测量手段的可行性。研究发现,在不同学科水平的作者之间,语义密度和句法复杂度分布具有明显差异性。三组较高水平作者语义密度显著高于本科生作者;母语作者的句法复杂度显著高于研究生和本科生,但与中国学者没有显著差异。语义密度反应知识浓缩程度,句法复杂度展示权力语法,二者均反应知识编码的不同侧面,可以作为学科知识水平和学术写作水平测量的有效方法。

本文引用格式

高彦梅, 周江平 . 语义密度、句法复杂度与学科知识编码[J]. 当代外语研究, 2022 , 22(6) : 55 -67 . DOI: 10.3969/j.issn.1674-8921.2022.06.008

Abstract

Semantic density and syntactic complexity reveal the characteristics of knowledge coding and culture of a discipline. The aim of this study is to testify the feasibility of semantic density and syntactic complexity as measures of knowledge coding in linguistics. By deploying the analytical tools of semantic density and syntactic complexity, this study compared four sets of abstracts of academic articles written by four groups of researchers at different academic levels, namely, experts of native speaker of English (NR), Chinese experts (CR), Chinese master degree students (MA), Chinese undergraduate students of linguistic courses (EFL). The results show that distributions of SD and SC are different among the four groups. NR, CR and MA used much more condensed technical terms than EFL writers. NR’s syntactic complexity is much higher than that of the MA and EFL group. There is no significant difference between NR and CR. Data from the analysis testified the validity of the two analytical tools for assessing writers’ capacity of knowledge coding.

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