USD Conference Systems, UNDERGRADUATE CONFERENCE (UC) 2025

Font Size: 
A COMPARATIVE OF DISCOURSE TRANSFORMATION IN SHORT STORIES BEFORE AND AFTER CORRECTION USING AI GRAMMAR CHECKER AND GOOGLE TRANSLATE
Grace Nataline Eka Putri Sabalai, Raden Rara Grhayu Makhesya Primanulan, Clara Dara Tarigas

Last modified: 2025-06-06

Abstract


This research explores discourse transformation within a short story before and after revision through two artificial intelligence (AI) powered tools: AI grammar checker (e.g., Grammarly or ChatGPT) and Google Translate. The aims of this research are to explore how the above-mentioned two tools influence sentence composition, politeness strategies used in language, and coherence of written language. Using the qualitative descriptive design and discourse analysis approach, the current study contrasts the student's original draft of his short story with the corrected version of every tool. The analytical result shows that the AI grammar checker is inclined to maintain the structure of the source text and improve only linguistic features while Google Translate is inclined to change the structure and tone of sentences, which may affect the meaning that the author aims to convey. Such findings highlight the importance of critical consciousness in utilisation of AI-based tools, particularly academic and creative writing practices.

Keywords


discourse analysis, short stories, Google Translate, writing correction, AI grammar checker