Work

Methods, Data, and Conceptual Change: Reflections from Two Quantitative Diachronic Case Studies

Year: 2026

Type: article

Abstract: This discussion paper reflects on how quantitative approaches to historical linguistics interact with dataset properties. Drawing on two worked examples, we examine English data using quad-based concept modelling of Early Modern English discourse in EEBO-TCP (c.1470s–1690s; ~765M words) alongside SynFlow analysis of scientific writing in Royal Society Corpus 6.0.4 (1750–1799; drawn from a ~78.6M-token open corpus). Through parallel comparison, the paper explores how each approach operationalises concepts, the data assumptions they entail, and the diachronic interpretations they support. We argue that comparative methodological reflection clarifies the limits of purely lexical, frequency-based approaches and highlights how dataset structure shapes the kinds of semantic change that quantitative methods can reliably detect.

Source: Journal of Open Humanities Data

DOI: 10.5334/johd.554

Authors: Catherine Wong, Bách Phan-Tất, Susan Fitzmaurice

Institutions: University of Sheffield, KU Leuven

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: European Commission, HORIZON EUROPE Framework Programme, Arts and Humanities Research Council, H2020 Marie Skłodowska-Curie Actions