mlsanityData to 13 Oct 2026

Chinese Intermediate English Learners outdid ChatGPT in deep cohesion: Evidence from English narrative writing

arXiv 2303.11812 ↗First posted 21 Mar 2023cs.CLcited by 3

Not on the map. Why?

Abstract (arXiv)

ChatGPT is a publicly available chatbot that can quickly generate texts on given topics, but it is unknown whether the chatbot is really superior to human writers in all aspects of writing and whether its writing quality can be prominently improved on the basis of updating commands. Consequently, this study compared the writing performance on a narrative topic by ChatGPT and Chinese intermediate English (CIE) learners so as to reveal the chatbot's advantage and disadvantage in writing. The data were analyzed in terms of five discourse components using Coh-Metrix (a special instrument for analyzing language discourses), and the results revealed that ChatGPT performed better than human writers in narrativity, word concreteness, and referential cohesion, but worse in syntactic simplicity and deep cohesion in its initial version. After more revision commands were updated, while the resulting version was facilitated in syntactic simplicity, yet it is still lagged far behind CIE learners' writing in deep cohesion. In addition, the correlation analysis of the discourse components suggests that narrativity was correlated with referential cohesion in both ChatGPT and human writers, but the correlations varied within each group.

Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 7 of its 49 references that are in the map. First posted on arXiv 21 Mar 2023.

Builds on

7 of 49 references.

References · 7

  1. 2017Attention Is All You Needcited by 60,106
  2. 2020Language Models are Few-Shot Learnerscited by 32,320
  3. 2021GPT Understands, Toocited by 716
  4. 2018Object Hallucination in Image Captioningcited by 663
  5. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 616
  6. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 461
  7. 2023Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarizationcited by 122

Built on by

Cited by year

Citing papers per year: 2023: 3.

3 papers.