OPA: An AI System for Automating the Correction and Analysis of Portuguese Dictations
Abstract
This paper presents an OPA (Observation, Processing, and Assistance) proof of concept, an AI-based system designed to support Portuguese language teachers in public schools by automating the correction and analysis of handwritten dictations. OPA uses OCR technologies and natural language processing to digitize students’ written work, identify errors, and classify them by type. This allows teachers to provide targeted interventions and better manage classroom data. By automating routine tasks, OPA aims to save time for educators and improve student literacy. The study demonstrates the potential of AI to transform educational practices, particularly in resource-limited environments, and addresses the lack of AI tools in Portuguese language education.References
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Luo, Y., Zhai, Y., and Qin, Y. (2022). Freta-d: A toolkit of automatic annotation of grammatical and phonetic error types in french dictations. In 2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS), pages 531–537.
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Santos, Y., Silva, M., and Reis, J. C. S. (2023). Evaluation of optical character recognition (ocr) systems dealing with misinformation in portuguese. In 2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pages 223–228.
Wang, R. (2024). A method for constructing a dictation system based on artificial intelligence technology and a dictation machine. In 2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE), pages 302–305.
Wen, J., Feng, X., and Fu, F. (2024). English text spelling error detection and correction based on multi-feature data fusion algorithm. In 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT), pages 1–5.
Wojcicki, P. and Zientarski, T. (2024). Polish word recognition based on n-gram methods. IEEE Access, 12:49817–49825.
Xuechen, H. (2009). A web-based intelligent tutoring system for english dictation. In 2009 International Conference on Artificial Intelligence and Computational Intelligence, volume 4, pages 583–586.
Zhai, Y., Tian, N., and Huang, X. (2022). Exploring the Design and Application of an Intelligent French Dictation Platform.
Deepthi, C. V. S. and Seenu, A. (2022). A systematic review on ocrs for indic documents manuscripts. In 2022 International Conference on Data Science, Agents Artificial Intelligence (ICDSAAI), volume 01, pages 1–4.
Guan, M., Ding, H., Chen, K., and Huo, Q. (2020). Improving handwritten ocr with augmented text line images synthesized from online handwriting samples by style-conditioned gan. In 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), pages 151–156.
Luo, Y., Zhai, Y., and Qin, Y. (2022). Freta-d: A toolkit of automatic annotation of grammatical and phonetic error types in french dictations. In 2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS), pages 531–537.
Negro, I., Leblanc, N., and Bonnotte, I. (2024). How to individualize lexical spelling instruction with distributed retrieval and feedback: an exploratory study with first-grade french students. Reading and Writing.
Santos, Y., Silva, M., and Reis, J. C. S. (2023). Evaluation of optical character recognition (ocr) systems dealing with misinformation in portuguese. In 2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pages 223–228.
Wang, R. (2024). A method for constructing a dictation system based on artificial intelligence technology and a dictation machine. In 2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE), pages 302–305.
Wen, J., Feng, X., and Fu, F. (2024). English text spelling error detection and correction based on multi-feature data fusion algorithm. In 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT), pages 1–5.
Wojcicki, P. and Zientarski, T. (2024). Polish word recognition based on n-gram methods. IEEE Access, 12:49817–49825.
Xuechen, H. (2009). A web-based intelligent tutoring system for english dictation. In 2009 International Conference on Artificial Intelligence and Computational Intelligence, volume 4, pages 583–586.
Zhai, Y., Tian, N., and Huang, X. (2022). Exploring the Design and Application of an Intelligent French Dictation Platform.
Published
2025-06-02
How to Cite
BUENO, Erika C. Matesz; FINAMOR, Polyana Graf; CARDOSO, Thaynara; GARCIA, Ana Cristina Bicharra.
OPA: An AI System for Automating the Correction and Analysis of Portuguese Dictations. In: BRAZILIAN SYMPOSIUM ON COLLABORATIVE SYSTEMS (SBSC), 20. , 2025, Manaus/AM.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 327-335.
ISSN 2326-2842.
DOI: https://doi.org/10.5753/sbsc.2025.6639.
