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Correcting spelling mistakes in Persian texts with rules and deep learning methods
This study aims to develop a system for automatically correcting spelling errors in Persian texts using two approaches: one that relies on rules and a common spelling mistake list and another that uses a deep neural network. The list of 700 common misspellings was compiled, and a database of 55,000...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652024/ https://www.ncbi.nlm.nih.gov/pubmed/37968293 http://dx.doi.org/10.1038/s41598-023-47295-2 |