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

Fuente: arXiv
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Auteurs principaux: Wong, Catherine, Phan-Tat, Bach, Fitzmaurice, Susan
Format: Preprint
Publié: 2026
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author Wong, Catherine
Phan-Tat, Bach
Fitzmaurice, Susan
author_facet Wong, Catherine
Phan-Tat, Bach
Fitzmaurice, Susan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2605_02052
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Methods, Data, and Conceptual Change: Reflections from Two Quantitative Diachronic Case Studies
Wong, Catherine
Phan-Tat, Bach
Fitzmaurice, Susan
Computation and Language
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.
title Methods, Data, and Conceptual Change: Reflections from Two Quantitative Diachronic Case Studies
topic Computation and Language
url https://arxiv.org/abs/2605.02052