Diachronic change in lexical complexity of research articles (1970–2020): economics vs. medicine
Fan Pan and
Yiying Yang ()
Additional contact information
Fan Pan: Huazhong University of Science and Technology
Yiying Yang: Huazhong University of Science and Technology
Scientometrics, 2025, vol. 130, issue 3, No 18, 1789-1812
Abstract:
Abstract Previous research on linguistic complexity features in research articles (RAs) has mainly focused on synchronic comparisons across disciplines or expertise levels. Relatively little research has been conducted from a diachronic perspective. The aim of the present study was to examine diachronic changes and disciplinary variations in the lexical complexity of RAs. A diachronic corpus consisting of 960 journal articles published between 1970 and 2020 in economics and medicine was compiled for analysis. Nine measures incorporated in Lu’s (2012) Lexical Complexity Analyzer were adopted to operationalize three dimensions of lexical complexity for all the texts. Results showed an increasing trend over the 50 years in the lexical density, variation, and sophistication of RAs in the two disciplines. More specifically, RAs in both disciplines have become more lexically complex over time, producing an increasing proportion of lexical words, a larger number of sophisticated words, and a wider diversity of word types. Results also showed that the two disciplines varied significantly in the complexity measures, with medicine generally exhibiting a higher level of lexical complexity during the examined period. These observed changes and variations could be interpreted as a result of shifting research paradigms and practices in the two disciplines. The findings of this study would facilitate a further understanding of linguistic changes occurring in disciplinary writing.
Keywords: Lexical complexity; Research articles; Diachronic change; Disciplinary variation; Corpus analysis (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-025-05258-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:130:y:2025:i:3:d:10.1007_s11192-025-05258-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-025-05258-6
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().