starride-teklia
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README.md
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# HOME-Alcar
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This model performs Handwritten Text Recognition in Latin.
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## Model description
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The model
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The model achieves the following results:
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| set | CER (%) | WER (%) | support |
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| train | 5.31 | 17.47 | 18503 |
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| val | 10.37 | 27.63 | 2367 |
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| test | 9.87 | 28.27 | 2241 |
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| set | CER (%) | WER (%)
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| test | 8.34 | 24.57 | 6932 |
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## How to use
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# HOME-Alcar handwritten text recognition
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This model performs Handwritten Text Recognition in Latin on medieval documents.
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## Model description
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The model was trained using the PyLaia library on two medieval datasets:
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* [Himanis](https://demo.arkindex.org/browse/5000e248-a624-4df1-8679-1b34679817ef?top_level=true&folder=true) (French)
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* [HOME Alcar](https://demo.arkindex.org/browse/46b9b1f4-baeb-4342-a501-e2f15472a276?top_level=true&folder=true) (Latin)
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For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
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An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the HOME Alcar training set.
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## Evaluation results
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The model achieves the following results:
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| set | Language model | CER (%) | WER (%) | N lines |
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|:------|:---------------|:----------:|:-------:|----------:|
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| test | no | 8.35 | 26.15 | 6932 |
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| test | yes | 7.85 | 23.20 | 6932 |
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## How to use
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