@article{englmeier-etal-2022-optimizing,
    title = "Optimizing the Training of Models for Automated Post-Correction of Arbitrary {OCR}-ed Historical Texts",
    author = "Englmeier, Tobias  and
      Fink, Florian  and
      Springmann, Uwe  and
      Schulz, Klaus U.",
    editor = "Wartena, Christian",
    journal = "Journal for Language Technology and Computational Linguistics",
    volume = "35",
    number = "1",
    month = "dec.",
    year = "2022",
    address = "Germany",
    publisher = "German Society for Computational Lingustics and Language Technology",
    url = "https://preview.aclanthology.org/moar-dois/2022.jlcl-1.1/",
    doi = "10.21248/jlcl.35.2022.232",
    pages = "1--27"
}