A new dataset and open-source OCR pipeline transcribes medieval English legal manuscripts at up to 88% word accuracy using CNN+LSTM and language model correction.
In: 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)
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Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.
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Democratizing the medieval English legal tradition
A new dataset and open-source OCR pipeline transcribes medieval English legal manuscripts at up to 88% word accuracy using CNN+LSTM and language model correction.
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Self-Organising Memristive Networks as Physical Learning Systems
Self-organising memristive networks exhibit collective nonlinear dynamics that can support physical learning with parallels to biological plasticity and potential for energy-efficient edge intelligence.