A Continual Learning Mechanism for Early Brahmi Inscription Translation with Deep Learning
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An automated system capable of recognizing and translating early Brahmi inscriptions from Sri Lanka into modern Sinhala by employing a CNN-based (YOLO) character recognition model and a transformer-based NMT model. A critical component of the system will be a continuous learning mechanism that allows the model to adapt incrementally as new inscriptions are discovered, thus avoiding the need for complete retraining with each new data point.
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