The Challenges of Multilingualism in the Search for Ancient Wisdom: A Case Study of VERITRACE’s Text Matching Tool

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

The ERC-funded VERITRACE project is applying the latest digital tools, including machine learning algorithms, on a large corpus of early modern texts in order to trace the influence of ancient wisdom writings on the development of early modern natural philosophy. Innovative capabilities of the project include text matching, where a query text is used as a search ‘query’ across a much larger comparison corpus. This poses challenges when query and comparison corpora are multilingual. This paper will explore these issues using VERITRACE’s Text Matching tool.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Humanities-Centred Artificial Intelligence
Subtitle of host publicationco-located with 47th German Conference on Artificial Intelligence, September 23 - September 27, 2024: Würzburg, Germany (KI 2024)
PublisherCEUR Workshop Proceedings
Pages5-28
Number of pages23
Volume3814
Publication statusPublished - 30 Oct 2024
EventWorkshop on Humanities-Centred Artificial Intelligence, co-located with 47th German Conference on Artificial Intelligence, September 23 - September 27, 2024: Würzburg, Germany (KI 2024) -
Duration: 23 Sept 202427 Sept 2024

Publication series

NameProceedings of the Workshop on Humanities-Centred Artificial Intelligence
ISSN (Print)1613-0073

Conference

ConferenceWorkshop on Humanities-Centred Artificial Intelligence, co-located with 47th German Conference on Artificial Intelligence, September 23 - September 27, 2024: Würzburg, Germany (KI 2024)
Period23/09/2427/09/24

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