Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Rainbow : Journal of Literature, Linguistics and Culture Studies
Ibrahim Salama
Dar Al-Thikr Schools
Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
The Limits of ChatGPT’s Pragmatic Interpretation: An Experimental Study of Conversational Implicature in Indonesian Language Conversations Aris Badara; Muhammad Rifa'ie; Ruslan Yusoh; Ibrahim Salama
Rainbow: Journal of Literature, Linguistics and Culture Studies Vol. 15 No. 3 (2026): October 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rainbow.v15i3.65667

Abstract

This study evaluates ChatGPT’s interpretative accuracy and contextual sensitivity in understanding conversational implicatures in Indonesian. A computational experimental design employed 80 minimal stimulus pairs, yielding 160 responses across five communication themes and four pragmatic phenomena. Each pair contained identical utterances presented in different situational contexts. Data were collected using GPT-6 at a ‘High’ reasoning level via Temporary Chat (unpersonalised). Two pragmatics experts independently assessed the responses using a 0–2 ordinal rubric. The analysis comprised Interpretation Accuracy (IA), Pairwise Joint Accuracy (PJA), descriptive comparisons between conditions, and qualitative examination of pragmatic inferences. IA reached 98.13% for Rater 1 and 91.25% for Rater 2, while PJA reached 96.25% and 82.50%, respectively. Exact agreement was 93.13%, with a weighted Cohen’s kappa of 0.332, indicating limitations in scoring consistency. According to Rater 2, pairwise accuracy was highest for indirect criticism or evaluation (95.00%) and lowest for indirect refusal (65.00%). Accuracy was descriptively higher in Condition A (96.25%) than in Condition B (86.25%). Qualitative analysis identified instances of inferences exceeding contextual support and insufficient use of relevant contextual information. These findings highlight the importance of evaluating both interpretative accuracy and contextual justification, while acknowledging the sensitivity of performance estimates to rater judgments.        
Co-Authors Aris Badara Muhammad Rifa'ie Ruslan Yusoh