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Kevin Heintz 1 Article
Comparing the accuracy and effectiveness of Wordvice AI Proofreader to two automated editing tools and human editors
Kevin Heintz, Younghoon Roh, Jonghwan Lee
Sci Ed. 2022;9(1):37-45.   Published online February 20, 2022
DOI: https://doi.org/10.6087/kcse.261
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AbstractAbstract PDF
Purpose
Wordvice AI Proofreader is a recently developed web-based artificial intelligence-driven text processor that provides real-time automated proofreading and editing of user-input text. It aims to compare its accuracy and effectiveness to expert proofreading by human editors and two other popular proofreading applications—automated writing analysis tools of Google Docs, and Microsoft Word. Because this tool was primarily designed for use by academic authors to proofread their manuscript drafts, the comparison of this tool’s efficacy to other tools was intended to establish the usefulness of this particular field for these authors.
Methods
We performed a comparative analysis of proofreading completed by the Wordvice AI Proofreader, by experienced human academic editors, and by two other popular proofreading applications. The number of errors accurately reported and the overall usefulness of the vocabulary suggestions was measured using a General Language Evaluation Understanding metric and open dataset comparisons.
Results
In the majority of texts analyzed, the Wordvice AI Proofreader achieved performance levels at or near that of the human editors, identifying similar errors and offering comparable suggestions in the majority of sample passages. The Wordvice AI Proofreader also had higher performance and greater consistency than that of the other two proofreading applications evaluated.
Conclusion
We found that the overall functionality of the Wordvice artificial intelligence proofreading tool is comparable to that of a human proofreader and equal or superior to that of two other programs with built-in automated writing evaluation proofreaders used by tens of millions of users: Google Docs and Microsoft Word.

Citations

Citations to this article as recorded by  
  • Navigating the impact: a study of editors’ and proofreaders’ perceptions of AI tools in editing and proofreading
    Islam Al Sawi, Ahmed Alaa
    Discover Artificial Intelligence.2024;[Epub]     CrossRef
  • Exploring students’ perspectives on Generative AI-assisted academic writing
    Jinhee Kim, Seongryeong Yu, Rita Detrick, Na Li
    Education and Information Technologies.2024;[Epub]     CrossRef

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