ChatGPT Evaluation: Can It Replace Grammarly and Quillbot Tools?
Open accessAbstract
This study aims to assess the capabilities of ChatGPT in comparison to widely utilized writing assistance tools such as Grammarly and Quillbot. The evaluation involves an examination of ChatGPT's performance across multiple dimensions, encompassing grammar and style correction, plagiarism detection, and overall enhancement of writing quality. Employing a series of tests and comparative analyses, this research investigates the potential suitability of ChatGPT as a viable alternative to Grammarly and Quillbot in supporting writers and enhancing the quality of written content. The outcomes and insights derived from this evaluation offer valuable guidance for individuals and professionals seeking effective writing assistance tools. This article comprehensively reviewed 10 distinct cases of Question(, covering aspects like grammar, parts of speech, proofreading, rephrasing, plagiarism detection, citation, audience engagement, writing style, tone (with a focus on optimism), and the creation of a short story complete with a title. This evaluation encompassed an assessment of various artificial intelligence tools, with specific attention given to ChatGPT. The results of this assessment demonstrated enhanced efficiency and effectiveness in achieving desired writing goals, with notable exceptions observed in addressing plagiarism and citation-related issues.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
One challenge is that ChatGPT's responses are based on the data on which it was trained, which may result in biased or inaccurate information.
“One challenge is that the responses of ChatGPT are based on the data on which it was trained, which may result in biased or inaccurate information.”
The integration of ChatGPT into medical practices and healthcare settings presents challenges and ethical considerations.
“The integration of ChatGPT into medical practices and healthcare settings presents challenges and ethical considerations.”
Ethical concerns arise when content generated by AI is mistaken for the expertise of a human.
“Ethical concerns arise when content generated by AI is mistaken for the expertise of a human.”
ChatGPT can provide initial observations that highlight regions of interest and assist radiologists in their analyses.
“It has the ability to provide initial observations, which can highlight regions of interest and assist radiologists in their analyses [13,25,26,27,28,29,30,31,32,33].”
ChatGPT has the ability to analyse and generate descriptions for medical images, which can enhance the workflow of radiologists.
“The potential of ChatGPT lies in its ability to analyse and generate descriptions for medical images, which can enhance the workflow of radiologists.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Revolutionizing education with AI: Exploring the transformative potential of ChatGPT
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023) · Contemporary Educational Technology · doi:10.30935/cedtech/13152 · Cited by 975 · see citing works
Perkins, M. (2023) · Journal of University Teaching and Learning Practice · doi:10.53761/1.20.02.07 · Cited by 839 · see citing works
Dergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023) · Biology of Sport · doi:10.5114/biolsport.2023.125623 · Cited by 796 · see citing works
ChatGPT and large language models in academia: opportunities and challenges
Meyer, J. G., Urbanowicz, R. J., Martin, P. C. N., O’Connor, K., Li, R., Peng, P.-C., Bright, T. J., Tatonetti, N., Won, K. J., Gonzalez-Hernandez, G., et al. (2023) · BioData Mining · doi:10.1186/s13040-023-00339-9 · Cited by 569 · see citing works
The role of ChatGPT in higher education: Benefits, challenges, and future research directions
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.29 · Cited by 561 · see citing works
What ChatGPT means for universities: Perceptions of scholars and students
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.22 · Cited by 431 · see citing works
ChatGPT and other artificial intelligence applications speed up scientific writing
Chen, T.-J. (2023) · Journal of the Chinese Medical Association · doi:10.1097/jcma.0000000000000900 · Cited by 240 · see citing works
ChatGPT for research and publication: Opportunities and challenges
Xames, M. D., & Shefa, J. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.20 · Cited by 103 · see citing works
Fraiwan, M., & Khasawneh, N. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2305.00237 · Cited by 57 · see citing works
ChatGPT for Research and Publication: Opportunities and ChallengesPreprint
Xames, M. D., & Shefa, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4381803 · Cited by 51 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Younis, H. A., Eisa, T. A. E., Nasser, M., Sahib, T. M., Noor, A. A., Alyasiri, O. M., Salisu, S., Hayder, I. M., & Younis, H. A. (2024) · Diagnostics · doi:10.3390/diagnostics14010109 · Cited by 242 · see citing works
Self-citation
- Authors
- A. younis, H., Mohammed, O., Muthmainnah, Sahib, T. M., Akhtom, D., Hayder, I. M., Salisu, S., & Shahid, M.
- Affiliations
- Universiti Sains Malaysia (MY)
- Southern Technical University (IQ)
- University of Kotli, Azad Jammu and Kashmir (PK)
- Venue
- British Journal of Applied Linguistics
- Published
- 2023-10-20
- Volume
- 3
- Issue
- 2
- Pages
- 34-46
- ISSN
- 2754-5253 (ISSN-L)
- OpenAlex
- W4387818836
- Cited by
- 17
- References
- 10
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 7 · 2023: 4
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- British Journal of Applied Linguistics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- ChatGPT, Grammarly, QuillBot, writing assistance tools, grammatical error correction, style correction, plagiarism detection, citation, paraphrase, proofreading
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
