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Modern Linguistics 2025
系统功能语言学视角下人工智能叙事生成中的主位结构——基于DeepSeek生成的虚拟故事
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Abstract:
本研究从系统功能语言学视角，分析了DeepSeek生成的中文虚拟叙事文本中的主位结构特点与规律。通过构建专项语料库，对45篇虚拟故事进行定量与定性分析，找到了人工智能叙事生成的主位结构特点，揭示了AI叙事在主位明确性与推进逻辑性上的优势与不足，并提出了优化AI叙事连贯性与吸引力的路径，为AI叙事生成的理论与实践提供了新见解。
This study investigates the thematic structure characteristics and patterns in Chinese virtual narrative texts generated by DeepSeek from the perspective of Systemic Functional Linguistics. Through the construction of a specialized corpus and quantitative-qualitative analysis of 45 virtual stories, distinctive features of AI-generated narratives were identified in their thematic organization. The research reveals both advantages and limitations in AI narrative construction regarding thematic explicitness and logical progression, while proposing optimization pathways to enhance AI narrative coherence and appeal. These findings offer novel theoretical and practical insights for AI narrative generation.
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