Adaptation of Sentence Structures in News Texts: A Corpus-Based Analysis of Complexity Levels Using Halliday’s Functional Grammar

Main Article Content

Sapolachet Prachumchai
Kanyarat Pinmuang

Abstract

This study explored how sentence structures function in news texts with varying levels of complexity, focusing on grammatical and contextual features. Using a quantitative corpus-based method supported by qualitative interpretive analysis, the research examined 1,308 English news articles (155,435 words) collected from Newsinlevels.com (2022), a learner-oriented platform.
The findings revealed that simple sentences dominate (54%), followed by complex (23%), compound-complex (13%), and compound sentences (10%). The proportion of simple sentences decreased as complexity levels increased, while the use of complex and compound-complex structures grew-indicating a shift toward more nuanced communication. These patterns align with Halliday’s (1985) functional grammar framework, showing how sentence structures were adapted to maintain coherence, accessibility, and complexity in news discourse. However, the corpus’s reliance on Newsinlevels.com may introduce bias toward simplified syntax, suggesting the need for future studies to investigate cross-cultural and longitudinal developments in journalistic style.

Article Details

How to Cite
Prachumchai, S., & Pinmuang, K. (2025). Adaptation of Sentence Structures in News Texts: A Corpus-Based Analysis of Complexity Levels Using Halliday’s Functional Grammar. NKRAFA Journal of Humanities and Social Sciences, 13, 109–119. retrieved from https://so04.tci-thaijo.org/index.php/KANNICHA/article/view/279296
Section
Research Articles

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