The presentation introduces the Daidalos Project, a German research initiative based at Humboldt University Berlin that develops infrastructure to support the use of natural language processing (NLP) in classical philology. Running from 2023 to 2026 (with a possible extension to 2030), the project is funded by the German Research Foundation and brings together experts from classical philology, corpus linguistics, and information technology. Rather than conducting original research, its primary goal is to make advanced computational methods more accessible to scholars working with Latin and Ancient Greek texts. Daidalos provides a wide range of services, including NLP servers with public APIs, a user-friendly JupyterLite environment, no-code graphical interfaces, and extensive documentation. It also offers educational materials such as Jupyter notebooks, open-access teaching resources, and curated datasets. Social initiatives — like workshops, conferences, and research tandems — play a central role in engaging the academic community. Workshops combine theoretical introductions with hands-on sessions, while research tandems pair scholars with project members to collaboratively design and prototype NLP-based studies. Results and workflows are openly published, reflecting the project’s commitment to open science and sustainable research support.
Konstantin Schulz (Thu,) studied this question.