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@@ -10,6 +10,8 @@ metrics:
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  - WER
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  language:
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  - ge
 
 
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  ---
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  # Fraktur handwritten text recognition
@@ -35,3 +37,14 @@ Results can be improved by combining PyLaia with a n-gram language model.
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  ## How to use
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  Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).
 
 
 
 
 
 
 
 
 
 
 
 
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  - WER
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  language:
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  - ge
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+ datasets:
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+ - Teklia/NewsEyeAustrian
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  ---
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  # Fraktur handwritten text recognition
 
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  ## How to use
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  Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).
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+
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+ ## Cite us
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+
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+ ```bibtex
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+ @inproceedings{pylaia-lib,
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+ author = "Tarride, Solène and Schneider, Yoann and Generali, Marie and Boillet, Melodie and Abadie, Bastien and Kermorvant, Christopher",
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+ title = "Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library",
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+ booktitle = "Submitted at ICDAR2024",
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+ year = "2024"
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+ }
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+ ```