从修辞的角度来看,对论证论文中的语法复杂性的比较分析:ChatGPT与英语母语者之间的比较
1School of Foreign Languages and Cultures, Jilin University, Changchun, China.
PloS one
|August 1, 2025
概括
这项研究比较了ChatGPT和母语使用者的论证论文,发现ChatGPT使用了更多的协调和更少的可变性. 人类写作显示了更多的下属和动词短语,表明了不同的语法复杂性模式.
科学领域:
- 计算语言学 计算语言学
- 修辞和构成研究 修辞和构成研究
背景情况:
- 像ChatGPT这样的人工智能语言模型越来越多地用于学术写作.
- 了解人工智能生成文本的语法复杂性对于评估其质量和将其整合到教育中至关重要.
研究的目的:
- 为了比较由ChatGPT和母语英语使用者撰写的论证论文的语法复杂性.
- 分析人工智能和人类写作之间的语法复杂性的跨修辞阶段变化.
- 识别结构偏好的差异和论证性写作的变化.
主要方法:
- 通过ChatGPT和母语使用者生成的论证论文中的语法特征的分析.
- 检查句子长度,T单元长度,复杂名词,协调和下属性.
- 评估不同修辞阶段的语法复杂度度的变化.
主要成果:
- 聊天GPT和母语使用者在论文阶段的平均句子长度和结论中的T单元复杂性相似.
- 聊天GPT倾向于协调结构,而母语使用者更频繁地使用下属和动词短语.
- 聊天GPT的输出表现出语法复杂性的变化较低,这表明了更统一的写作风格.
结论:
- 在语法复杂性和修辞功能方面,ChatGPT和母语者之间存在显著的差异.
- 虽然ChatGPT的写作能力很强,但与人类写作相比,它表现出一种独特的,不那么可变的语法特征.
- 结果提供了关于ChatGPT在论证性写作中的表现的见解,并为其在教育环境中的使用提供了信息.
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