| Vol-3814 urn:nbn:de:0074-3814-0 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# CHAI 2024
Humanities-Centred Artificial Intelligence 2024

### Proceedings of the Workshop on Humanities-Centred Artificial Intelligence
co-located with 47th German Conference on Artificial Intelligence, September 23 - September 27, 2024: Würzburg, Germany (KI 2024)

### Würzburg, Germany, September 23, 2024.

Edited by

### Sylvia Melzer *,**,***
Hagen Peukert ****
Stefan Thiemann ****
Erik Radisch *****

* University of Hamburg, Centre for the Study of Manuscript Cultures (CSMC), 20354 Hamburg, Germany
** University of Hamburg, Institute for Humanities-Centered Artificial Intelligence (CHAI), 20354 Hamburg, Germany
*** University of Hamburg, Cluster of Excellence ‘Understanding Written Artefacts’ (UWA), 20354 Hamburg, Germany
****University of Hamburg, Center for Sustainable Research Data Management, 20146 Hamburg, Germany
*****Sächsische Akademie der Wissenschaften zu Leipzig, 04107 Leipzig, Germany

## Table of Contents

- Introduction to the Fourth Workshop on Humanities-Centred Artificial Intelligence 1-4
  Sylvia Melzer, Hagen Peukert, Stefan Thiemann, Erik Radisch
  Summary: There were 7 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, 3 as regular papers and 2 as short papers.

### Regular Papers

- From Data Acquisition to Latent Semantic Analysis: Developing VERITRACE's Computational Approach to Tracing the Influence of Ancient Wisdom in Early Modern Natural Philosophy 5-28
  Jeffrey C. Wolf, Nicolò Cantoni, Eszter Kovács, Demetrios Paraschos, Cornelis J. Schilt
- Testing the Syntactic Competence of Large Language Models with a Translation Task 29-38
  Edyta Jurkiewicz-Rohrbacher
- Tracing the Palola Shahi Royal Genealogy by Fusing LLMs and Databases?: A Case Study 39-50
  Hui Xu, Thomas Asselborn, Haiyan Hu-von Hinüber, Oskar von Hinüber, Sylvia Melzer

### Short Papers

- Automate Text Processing for Schematically Analyzing Legal Texts 51-58
  Magnus Bender
- Retrieving Information Presented on Webpages Using Large Language Models: A Case Study 59-66
  Thomas Asselborn, Karsten Helmholz, Ralf Möller

### Invited Papers

- Humanities in the Center of Data Usability: Data Visualization in Institutional Research Repositories 67-74
  Hagen Peukert, Lucas F. Voges, Thomas Asselborn, Magnus Bender, Ralf Möller, Sylvia Melzer
- Human-Centred Open-Source Automatic Text Recognition for the Humanities with OCR4all 75-82
  Christian Reul, Maximilian Nöth, Herbert Baier, Florian Langhanki, Kevin Chadbourne

2024-10-22: submitted by Sylvia Melzer, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|