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license: cc-by-sa-4.0 |
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language: |
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- la |
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- de |
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metrics: |
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- cer |
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tags: |
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- HTR |
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- OCR |
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- handwriting |
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- 16 century |
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- correspondence |
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- Bullinger |
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- reformation |
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# General HTR Model trained on Bullinger Correspondence |
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This is a handwritten text recognition model based on [TrOCR](https://arxiv.org/abs/2109.10282), fine-tuned with the [Bullinger dataset](https://github.com/pstroe/bullinger-htr). Please see the preceding link for a detailed description of the dataset. For a detailed description of the model, please see the publication below (especially the thesis). |
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## Publications |
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More detail can be found in the following publications (please cite these two if you use the model for your experiments): |
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- Tobias Hodel, Phillip Benjamin Ströbel, Andreas Fischer, Anna Scius-Bertrand, Anna Janka, Jonas Widmer, Beat Wolf, Patricia Scheurer, Martin Volk. 2023. Bullingers Briefwechsel zugänglich machen: Stand der Handschriftenerkennung. In *DHd2023: Open Humanities, Open Culture. Konferenzabstracts*, Luxembourg/Trier, Luxembourg/Germany. 9. Jahrestagung des Verbands Digital Humanities im deutschsprachigen Raum e.V. |
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- Phillip Benjamin Ströbel. 2023. *Flexible Techniques for Automatic Text Recognition of Historical Documents*. PhD Thesis, Zürich. [Link](https://doi.org/10.5167/uzh-234886) |
