Work

Towards an Interoperable Corpus of Austrian Historical Newspapers: The case of PressMint-AT

Year: 2026

Type: conference-paper

Abstract: In this paper the PressMint-AT project is presented, which aims to create a historical newspaper corpus based on the Wiener Abendpost.The quality of automatic text recognition (ATR) is a key factor in creating historical newspaper corpora.Therefore, the performance of established ATR tools, multimodal large language models (LLMS), and existing full-text transcriptions provided by the Austrian National Library via ANNO is evaluated in order identify the most suitable approach for the PressMint-AT project.Even though recent research has demonstrated promising results for OCR tasks using multimodal LLMs, the experiments presented in this paper show, that PERO OCR achieves the best performance for the PressMint-AT dataset.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/4ionpc6w2rmt

Authors: Tanja Wissik, Jona Hassenbach, Hannes Pirker, Claudia Resch, Stefan Resch

Institutions: Austrian Academy of Sciences, Austrian Centre for Digital Humanities

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7166519100

FWCI:

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