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EXPLORING LEXICAL COMPLEXITY IN SCIENTIFIC WRITING: A CORPUS-BASED STUDY ACROSS DISCIPLINES Ayadi, Mouna
LLT Journal: A Journal on Language and Language Teaching Vol 27, No 1 (2024): April 2024
Publisher : English Education Study Programme of Sanata Dharma University, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/llt.v27i1.6790

Abstract

This study examines the lexical complexity of scientific writing. It specifically focuses on the degree of lexical density and lexical diversity in the results and discussion sections of research articles. Using a qualitative approach with quantification to back it up, this study scrutinized 60 results and discussion sections of research articles written by Tunisian linguistics and engineering scholars. The analysis was conducted using the lexical complexity analyzer developed by Lu (2010). Moreover, descriptive analysis and the independent T-test were conducted to ascertain the statistical distinctions between the discussion and results sections of linguistics and engineering disciplines. The findings suggest that engineering scholars wrote in a more concise and information-dense style, with a greater lexical density, while linguistics scholars used a broader range of linguistic forms, resulting in more diverse and richer expressions. The differences in writing style can be attributed to the nature of the disciplines and the types of research conducted within each field. The results obtained from this study may offer valuable implications for English for Academic Purposes (EAP) writing instructions.
CORPUS-BASED LEXICAL BUNDLES IN AMERICAN PRESIDENTIAL INAUGURAL SPEECHES Ayadi, Mouna
UC Journal: ELT, Linguistics and Literature Journal Vol 6, No 1 (2025): May 2025
Publisher : Sanata Dharma University, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/uc.v6i1.11117

Abstract

The aim of this paper was to investigate the use of lexical bundles in the inaugural speeches of Democratic and Republican presidents in the United States in order to identify linguistic differences associated with lexical bundles. Drawing on Biber et al. (2004) framework, the study used AntConc software (version 3.5.9; Anthony, 2020) to analyse the lexical bundles used in the speeches. The study found that noun phrase (NP) fragments were the common structural pattern in all speeches. Democratic presidents tended to use NP + of phrase fragments, whereas Republican presidents used prepositional phrase (PP) + of fragments. In terms of the functional classification, both political parties showed a strong priority for referential expressions. These findings point to different linguistic styles associated with each political party, influencing their communication styles in public discourse. Future research is encouraged to look into how linguistic patterns influence political communication and persuasive strategies.