Work

iWEEMS: Interactive Word Embeddings for Early Modern Science

Year: 2025

Type: article

Abstract: This paper introduces a collection of 15-word embedding models supplemented by an interactive visualization web application for their explorations. The models are type-based word embeddings trained on automatically lemmatized texts from several Latin corpora with a special relevance for the history of Early Modern science. The models and web app allow anyone to explore semantic trends in the vocabulary of Early Modern science between the 16th and 17th centuries and across multiple academic disciplines and milieus. In this paper, we document the methodology used to obtain the models and the rationale behind the web app design.

Source: Journal of Open Humanities Data

DOI: 10.5334/johd.379

Authors: Vojtěch Kaše, Jana Švadlenková, Jan Tvrz, Georgiana Hedesan, Petr Pavlas

Institutions: Czech Academy of Sciences, Czech Academy of Sciences, Institute of Philosophy, University of West Bohemia in Pilsen, University of Oxford

Language: English

Topic: Digital Humanities and Scholarship

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $367

Funders: Akademie Věd České Republiky, Universität Innsbruck