Papers by Paraskevi Platanou
Detecting Erroneously Recognized Handwritten Byzantine Text (2023.findings-emnlp)
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| Challenge: | Handwritten text recognition (HTR) produces textual output that contains errors, which are much higher than recognised printed text. |
| Approach: | They investigate the properties of handwritten texts that lead post-correction systems to this adversarial behaviour in Byzantine Greek. |
| Outcome: | The proposed model achieves an average precision score of 95% in Byzantine Greek and 97% in modern and ancient Greek. |
Handwritten Paleographic Greek Text Recognition: A Century-Based Approach (2022.lrec-1)
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| Challenge: | achieving high accuracy HTR results for Greek manuscripts is still a major challenge . Optical character recognition software is notoriously difficult to use for handwritten text . |
| Approach: | They propose to use Greek manuscripts as a source for a new model to assess HTR accuracy. |
| Outcome: | The proposed model can be used to improve the recognition rate of Greek manuscripts. |