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.
Cite
@article{arxiv.2406.17787,
title = {Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison},
author = {Sumi Lee and Gondy Leroy and David Kauchak and Melissa Just},
journal= {arXiv preprint arXiv:2406.17787},
year = {2024}
}