Leonard Konle

Leonard Konle is a researcher at the University of Würzburg, affiliated with the Institute of German Philology within the Faculty of Philosophy. He is part of the Chair of Computational Philology and Modern German Literary History, working alongside Prof. Dr. Fotis Jannidis and other researchers including PD Dr. Katrin Dennerlein, Anton Ehrmanntraut, Thora Hagen, Patrick Helling, Agnes Hilger, Dr. Kerstin Jung, Dr. Steffen Pielström, and Thorsten Vitt.

His research focuses on the intersection of computational methods and literary analysis, particularly in German literature. His primary fields of interest include:

• Computational Philology and Digital Humanities
• Literary Emotion Analysis
• German Poetry Analysis from Realism to Modernism
• Corpus Linguistics and Text Mining
• Machine Learning Applications in Literary Studies
• Annotation Methods and Inter-annotator Agreement

Leonard's scholarly work demonstrates a strong focus on applying computational methods to analyze German literary texts, particularly poetry. His research spans multiple dimensions of digital literary studies, from developing specialized language processing pipelines like LLpro for German narrative texts to analyzing emotional content across literary periods. He has made significant contributions to understanding how literary forms and emotional expressions evolve over time, particularly between 1850 and 1920. His technical expertise extends to modern NLP techniques including BERT-based classification systems and specialized metrics for measuring text similarity in short literary works. He has also contributed methodological frameworks for annotating poetic similarity and emotion markers, showing a commitment to rigorous research practices in computational literary analysis.