대한언어학회 전자저널

Kim, Taejin. (2024). Exploring ai-generated substitutions for the preposition over: Frequency and contextual alternatives in formal written English. The Linguistic Association of Korea Journal, 32(4), 51-65. This study investigates the substitution patterns of the preposition over in written, formal English, utilizing AI-generated data as an alternative to traditional corpus methods. Two datasets of 100 and 200 sentences were analyzed, with the preposition about emerging as the most frequent and versatile substitute for over. Other alternatives, including of, above, and against, appeared in more specific contexts. The statistical analysis, supported by a Pearson correlation coefficient of 0.9939 between the two datasets, confirmed the reliability and consistency of the AI-generated data. The results indicate that AI-generated examples can serve as a valid and efficient tool for exploring linguistic phenomena, capturing consistent prepositional patterns even with increasing sample sizes. Pedagogical implications suggest that educators can prioritize high-frequency alternatives like about in language instruction, while focusing on contextualized learning to help L2 learners navigate the complexity of prepositional usage.

# substitutes # over # L2 learners # linguistics # ChatGPT

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