While extensive research has focused on ChatGPT in recent years, very few studies have systematically quantified and compared linguistic features between human-written and Artificial Intelligence (AI)-generated language. This study aims to investigate how various linguistic components are represented in both types of texts, assessing the ability of AI to emulate human writing. Using human-authored essays as a benchmark, we prompted ChatGPT to generate essays of equivalent length. These texts were analyzed using Open Brain AI, an online computational tool, to extract measures of phonological, morphological, syntactic, and lexical constituents. Despite AI-generated texts appearing to mimic human speech, the results revealed significant differences across multiple linguistic features such as consonants, word stress, nouns, verbs, pronouns, direct objects, prepositional modifiers, and use of difficult words among others. These findings underscore the importance of integrating automated tools for efficient language assessment, reducing time and effort in data analysis. Moreover, they emphasize the necessity for enhanced training methodologies to improve the capacity of AI for producing more human-like text.

这项研究旨在调查ChatGPT和人类写作之间的语言特征差异，发现AI生成的文本在多个语言特征上与人类写作有显著差异，强调了整合自动化工具进行有效语言评估以减少数据分析的时间和工作量的重要性，并强调了增强培训方法以提高AI生成更接近人类文本的能力的必要性。

利用从在线计算工具自动提取的语言特征区分人类写作和AI生成的文本