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arXiv · 2406.17787

Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison

Sumi Lee·Gondy Leroy·David Kauchak·Melissa Just
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Abstract

This study investigates human and ChatGPT text simplification and its relationship to dependency distance. A set of 220 sentences, with increasing grammatical difficulty as measured in a prior user study, were simplified by a human expert and using ChatGPT. We found that the three sentence sets all differed in mean dependency distances: the highest in the original sentence set, followed by ChatGPT simplified sentences, and the human simplified sentences showed the lowest mean dependency distance.

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Sumi Lee, Gondy Leroy, David Kauchak, Melissa Just. 2024-05-20. Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison. https://arxiv.org/abs/2406.17787

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