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an analysis of noun phrase modifiers in bbc news articles on taylor swift
This study analyzes the types of noun phrase modifiers in BBC online news articles on Taylor Swift published in 2024, focusing on how these modifiers vary across entertainment, economic, and political themes. Employing a descriptive qualitative design, the research draws on syntactic frameworks proposed by Biber et al. (2002) and Downing and Locke (2006) to identify, classify, and analyze noun phrase modifiers. Data were extracted from three BBC articles, each representing a distinct thematic category. A total of 300 noun phrase modifiers were identified, with 152 (50.67%) appearing as pre-modifiers and 148 (49.33%) as post-modifiers. The most frequent modifier types across all themes were prepositional phrases (29.67%) and adjectives (28.67%). Genre-specific trends were evident: entertainment news favored adjectives for concise expression, political news relied on post-modifiers such as relative clauses and appositive phrases to ensure elaboration and clarity, while economic news employed a balanced mix, with notable use of noun pre-modifiers. The findings suggest that genre conventions, communicative goals, and audience expectations influence modifier selection and positioning. This study contributes to syntactic analysis by offering an integrated approach to examining real-world journalistic texts, demonstrating how grammatical structures function to convey precision and nuance. Despite its limited dataset, the study offers pedagogical implications by recommending authentic media texts as valuable tools for enhancing learners’ grammatical awareness and syntactic proficiency. Future research should incorporate larger corpora, compare different genres or language backgrounds, and utilize corpus-based methods to enhance generalizability.
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