Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909231537455104 |
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| author | Lee, Sumi Leroy, Gondy Kauchak, David Just, Melissa |
| author_facet | Lee, Sumi Leroy, Gondy Kauchak, David Just, Melissa |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_17787 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison Lee, Sumi Leroy, Gondy Kauchak, David Just, Melissa Computation and Language 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. |
| title | Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2406.17787 |