Christian Reul

According to our database, Christian Reul authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Human-Centred Open-Source Automatic Text Recognition for the Humanities with OCR4all.

Christian Reul, Maximilian Nöth, Herbert Baier, Florian Langhanki, Kevin Chadbourne

Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 47th German Conference on Artificial Intelligence, September 23, 2024

2023

OCR17: Ground Truth and Models for 17th c. French Prints (and hopefully more).

Simon Gabay, Thibault Clérice, Christian Reul

J. Data Min. Digit. Humanit., March, 2023

OCR4all - Open-Source OCR and HTR Across the Centuries.

Florian Langhanki, Maximilian Wehner, Torsten Roeder, Christian Reul

Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

Algorithmen-gestützte Analyse visuell-materieller Eigenschaften von Briefen.

Julia Nantke, Christian Reul, Sandra Bläß, Marie Flüh

Proceedings of the 9. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2023

Synoptische Interfaces Digitaler Editionen.

Yannik Herbst, Torsten Roeder, Christian Reul

Proceedings of the 9. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2023

Analyse, Produktion, Reflexion: Nachnutzungsszenarien für Forschungsdaten am Beispiel der Daten des Projekts Dehmel digital.

Sandra Bläß, Marie Flüh, Julia Nantke, Christian Reul

Proceedings of the 9. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2023

2022

Handwritten Text Recognition und Word Mover's Distance als Grundlagen der digitalen Edition "Die Kindheit Jesu Konrads von Fußesbrunnen".

Stefan Tomasek, Christian Reul, Maximilian Wehner

Proceedings of the 8. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2022

Flexibles Arbeiten mit OCR4all - Massenvolltextdigitalisierung von Drucken mithilfe von OCR-D und hochqualitative Transkription von Handschriften.

Florian Langhanki, Maximilian Wehner, Konstantin Baierer, Lena Hinrichsen, Christian Reul

Proceedings of the 8. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2022

Volltexterkennung für historische Sammlungen mit OCR4all-libraries iterativ und partizipativ gestalten.

Jan Sebastian Klaes, Kristof Korwisi, Katharina Krüger, Christian Reul, Nadine Towara

Proceedings of the 8. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2022

Open Source Handwritten Text Recognition on Medieval Manuscripts Using Mixed Models and Document-Specific Finetuning.

Christian Reul, Stefan Tomasek, Florian Langhanki, Uwe Springmann

Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

2021

OCR-D & OCR4all: Two Complementary Approaches for Improved OCR of Historical Sources.

Konstantin Baierer, Andreas Büttner, Elisabeth Engl, Lena Hinrichsen, Christian Reul

Proceedings of the 6th International Workshop on Computational History (HistoInformatics 2021) co-located with ACM/IEEE Joint Conference on Digital Libraries 2021 (JCDL 2021), 2021

One-Model Ensemble-Learning for Text Recognition of Historical Printings.

Christoph Wick, Christian Reul

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning.

Christian Reul, Christoph Wick, Maximilian Nöth, Andreas Büttner, Maximilian Wehner, Uwe Springmann

Proceedings of the HIP@ICDAR 2021: The 6th International Workshop on Historical Document Imaging and Processing, 2021

2020

An Intelligent Semi-Automatic Workflow for Optical Character Recognition of Historical Printings (Ein intelligenter semi-automatischer Workflow für die OCR historischer Drucke)

Christian Reul

PhD thesis, 2020

Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition.

Christoph Wick, Christian Reul, Frank Puppe

Digit. Humanit. Q., 2020

OCR4all - Eine semi-automatische Open-Source-Software für die OCR historischer Drucke.

Maximilian Wehner, Michael Dahnke, Florian Landes, Robert Nasarek, Christian Reul

Proceedings of the 7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2020

Typisierte Varianz-Analyse von Texten.

Nico Balbach, Christian Reul, Frank Puppe

Proceedings of the 7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2020

2019

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings.

Christian Reul, Dennis Christ, Alexander Hartelt, Nico Balbach, Maximilian Wehner, Uwe Springmann, Christoph Wick, Christine Grundig, Andreas Büttner, Frank Puppe

CoRR, 2019

State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines.

Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe

Proceedings of the 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2019

Korrektur von fehlerhaften OCR Ergebnissen durch automatisches Alignment mit Texten eines Korpus.

Markus Bald, Vincenzo Damiani, Holger Essler, Björn Eyeselein, Christian Reul, Frank Puppe

Proceedings of the 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2019

Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification: A Case Study on Daniel Sander's Wörterbuch der Deutschen Sprache.

Christian Reul, Sebastian Göttel, Uwe Springmann, Christoph Wick, Kay-Michael Würzner, Frank Puppe

Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage, 2019

2018

Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus.

Christoph Wick, Christian Reul, Frank Puppe

J. Lang. Technol. Comput. Linguistics, 2018

Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin.

Uwe Springmann, Christian Reul, Stefanie Dipper, Johannes Baiter

J. Lang. Technol. Comput. Linguistics, 2018

Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning.

Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe

J. Lang. Technol. Comput. Linguistics, 2018

Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks.

Christoph Wick, Christian Reul, Frank Puppe

CoRR, 2018

Improving OCR Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting.

Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe

Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017

Transfer Learning for OCRopus Model Training on Early Printed Books.

Christian Reul, Christoph Wick, Uwe Springmann, Frank Puppe

CoRR, 2017

LAREX: A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books.

Christian Reul, Uwe Springmann, Frank Puppe

Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage, 2017

Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben' (1488).

Christian Reul, Marco Dittrich, Martin Gruner

Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage, 2017

2016

Expectation-Driven Text Extraction from Medical Ultrasound Images.

Christian Reul, Philipp Köberle, Nurcan Üçeyler, Frank Puppe

Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016