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Title:
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HOMOGENEITY OF TOKEN PROBABILITY DISTRIBUTIONS IN CHATGPT AND HUMAN TEXTS |
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Author(s):
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Dragica Ljubisavljevic, Marko Koprivica, Aleksandar Kostic and Vladan Devedzic |
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ISBN:
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978-989-8704-52-8 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Shannon Equitability, NLP, ChatGPT, Education |
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Type:
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Full |
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First Page:
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207 |
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Last Page:
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213 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper delves into statistical disparities between human-written and ChatGPT-generated texts, utilizing an analysis of Shannon's equitability values, and token frequency. Our findings indicate that Shannon's equitability can potentially be a differentiating factor between texts produced by humans and those generated by ChatGPT. Additionally, we uncover substantial distinctions when studying the most frequent tokens. |
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