Florian Keßler
Having studied Computer Science and Sinology in Beijing, Aachen, Taipei and Munich, in my PhD project supervised by Prof. Bréard and Prof. Evert from the Chair of Computational Corpus Linguistics, I want to employ techniques from Computational Linguistics to analyze the style of Chinese mathematical texts. Since I am very familiar with how algorithms are expressed in modern Computer Science, I find it especially interesting to explore the way in which algorithms were recorded traditionally in China, and how the formulaic language used for that purpose might even resemble today’s programming languages. A particular focus will be on texts from the second half of the 19th century, where increasingly, Western mathematics was introduced into China, contrasting with the Chinese mathematical tradition. Aside from my research activities, I am also giving a tutorial on Classical Chinese for Bachelor students of Sinology at the Friedrich–Alexander University Erlangen–Nürnberg (FAU).
Florian Keßler
Institute for Near Eastern and East Asian Languages and Civilizations
Chair for Sinology with a focus on the Intellectual and Cultural History of China (Alexander von Humboldt-Professor)
Hartmannstraße 14, D3
91052 Erlangen
- Phone number: +49 9131 85-64327
- Email: florian.kessler@fau.de
Conference Contributions
A Clash of Cultures and Topics: A Critical Perspective on Topic Modelling in the Case of Western Mathematics in Pre-modern China
Digital Humanities 2024 (Arlington, VA, 6. August 2024 - 9. August 2024)
In: Jajwalya Karajgikar, Andrew Janco, Jessica Otis (ed.): Digital Humanities 2024: Book of Abstracts 2024
DOI: 10.5281/zenodo.13834936
URL: https://zenodo.org/records/13834936
BibTeX: Download
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Towards Context-aware Normalization of Variant Characters in Classical Chinese Using Parallel Editions and BERT
1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) (Hybrid in Bangkok, Thailand and online, 15. August 2024 - 15. August 2024)
In: John Pavlopoulos, Thea Sommerschield, Yannis Assael, Shai Gordin, Kyunghyun Cho, Marco Passarotti, Rachele Sprugnoli, Yudong Liu, Bin Li, Adam Anderson (ed.): Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) 2024
DOI: 10.18653/v1/2024.ml4al-1.15
URL: https://aclanthology.org/2024.ml4al-1.15/
BibTeX: Download
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