
In diesem Poster präsentieren wir eine Gegenüberstellung von zwei Layouterkennungs-Environments: YOLO und Kraken (außerhalb der eScriptorium-Umgebung). Dafür verwenden wir YOLOv12 und Kraken 5.3.0 mit den bereits annotierten Ground-Truth-Daten aus dem GlossIT-Korpus. Dieses Korpus wird im Zuge des ERC-Consolidator Grant Projekts "Celtic and Latin glossing traditions: uncovering early medieval language contact and knowledge transfer" (Grant Agreement Nr. 101123203) erstellt. Ziel des Projekts ist es, Sprachkontakt und Wissenstransfer im frühmittelalterlichen Westeuropa zu untersuchen.
Paper, Forschungsprozess, ATR, Methoden, DHd2026, GlossIT, Layout-Analysis, Manuskript, Poster, Transcription, Editing
Paper, Forschungsprozess, ATR, Methoden, DHd2026, GlossIT, Layout-Analysis, Manuskript, Poster, Transcription, Editing
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