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A Comparative Study on the Meta-functions of Artificial Intelligence and Human Discourse Markers
SHI Ren-wen
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DOI:10.17265/2159-5836/2024.10.008
University of Shanghai for Science and Technology, Shanghai, China
This study explores the use of discourse markers in AI-generated and human-generated texts, based on Halliday’s metafunctional theory. By analyzing 20 Shanghai college entrance exam essays generated by Baidu’s AI model Wenxinyiyan and comparing them with 20 human-written essays, it is found that both share similar use of discourse markers. However, AI tends to use transitional and topic-follow-up markers more frequently, while human texts show a higher usage of conditional and causal markers. These findings suggest AI’s capacity for maintaining discourse coherence but highlight its limitations in more complex reasoning.
discourse, metafunctions, discourse markers, AI
Journal of Literature and Art Studies, October 2024, Vol. 14, No. 10, 878-881
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