Pre-Modern Data: Applying Language Modeling and Named Entity Recognition on Criminal Records in the City of Bern

descriptionPublicationkeyboard_double_arrow_right Other literature type , Presentation , Article , Conference object 01 Jan 2023Embargo end date: 25 Oct 2024 German Publisher:University of Bern

Authors: Hodel, Tobias; Prada Ziegler, Ismail; Schneider, Christa;

doi: 10.48350/184547 , 10.5281/zenodo.8141707 , 10.5281/zenodo.8141708 , 10.5281/zenodo.8107615 , 10.5281/zenodo.8107616

Pre-Modern Data: Applying Language Modeling and Named Entity Recognition on Criminal Records in the City of Bern

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Abstract

How can NLP technologies be applied and measured on pre-modern documents? Based on a large handwritten dataset from the tower of Bern, we tested available language models and taggers, showcasing that specific forms of representation and identification need to be found. Relying on cooperation to further improve information retrieval.

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Keywords

Paper, Pre-Modern German, History, Long Presentation, Named Entity Recognition, Language Model, Machine Learning, Information Extraction, Pre-Modern Documents, Linguistics, Language Model, Named Entity Recognition, Language Modeling, text mining and analysis, FOS: Languages and literature, Text Recognition, data modeling

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