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@article{176628,
        author = {Harshita Handa and Shreyash Singh},
        title = {Multilingual Transformer-based Braille to Text Conversion with Autocorrection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7542-7548},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176628},
        abstract = {The conversion of Braille to readable text is essential for visually impaired individuals, yet manual processes and basic automated systems often introduce errors. This paper presents a novel multilingual Braille-to-text conversion system that integrates transformer-based natural language processing (NLP) for enhanced text correction. Leveraging the T5 transformer model, specifically the flexudy/t5-base-multi-sentence-doctor model, the system provides accurate language-specific corrections, ensuring higher reliability. Additionally, it supports bidirectional translation between Braille and text, addressing the challenge of Braille text inaccuracies and offering significant utility across multiple languages. This approach improves the accessibility and effectiveness of Braille literacy tools.},
        keywords = {Braille, Transformer, Multilingual, Autocorrection, T5, NLP},
        month = {April},
        }