Linguistic traces: low-frequency forms as evidence of language and population history
This project aims to reconstruct early European languages by analyzing low-frequency linguistic variants in historical texts, integrating philology with deep learning to uncover cultural interactions.
Projectdetails
Introduction
We know remarkably little about the early history that formed the known European languages and cultures. While advances in genetics have led to new debates about population histories, they cannot tell us about the languages spoken. In the absence of written records, language appears ephemeral: changes through time seemingly erase all traces of earlier speech, leaving only abstract ‘proto-languages’ to be reconstructed.
Language Change and Residual Forms
Such erasures are not, however, complete, as language change always leaves behind a tail of residual forms. Very little research has dealt with the low-frequency variation that forms part of all natural language, even though it is known that residual forms are often resistant to change and may show stable geographical patterns.
This project explores the potential of such patterns to provide linguistic ‘fingerprints’ allowing the reconstruction of much earlier linguistic configurations. It also addresses the general question of low-frequency variation as a carrier of meaning:
- How can the systematic study of minor variants refine current views of linguistic variation and change?
Research Focus
We will study the spread and interactions of linguistic and cultural groups in early England − Celtic, Scandinavian, and West Germanic − through geographically coherent patterns of minority variants (‘micro-patterns’) in a set of historical, purpose-built text corpora.
Such an approach has not been attempted before and is made possible by the combination of philological expertise and the development of corpus annotation methods based on deep learning technology.
Expected Outcomes
The project is expected to lead to a breakthrough in the study of linguistic variation, where small-scale patterning has largely been ignored. Linguistic traces, combined with the findings of archaeology and genetics, are expected to form a powerful means of reconstructing the past, throwing light on past linguistic areas and interactions as well as on the maintenance of local and regional identities.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.498.135 |
Totale projectbegroting | € 2.498.135 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- UNIVERSITETET I STAVANGERpenvoerder
- MULTILAB AS
Land(en)
Vergelijkbare projecten binnen European Research Council
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Language geography and the dynamics of linguistic and population prehistory
The LANGUAGE REDUX project aims to uncover the factors preserving ancient linguistic distributions by combining historical evidence with spatial statistics and quantitative modeling.
Early Medieval English in Nineteenth-Century Europe: The Transnational Reception of Old English in the Age of Romantic Nationalism
This project investigates the transnational reception of Old English in 19th-century Europe to diversify the historiography and understanding of its foundational influence on modern studies.
The Lost Manuscripts of Medieval Europe: Modelling the Transmission of Texts
LostMa investigates the evolution of human cultures through the transmission of written artefacts, using AI and complexity science to analyze and simulate textual survival and loss.
Phylogenies probing Grammar. Exploring morphosyntax at different scales of language change
PhylProGramm aims to enhance the reconstruction of language history by developing computational methods to analyze morphosyntactic properties and their evolutionary implications.
Post-National Reconceptions of European Literary History: A Mixed-Method Approach to a Late Medieval Text Tradition
The Post-REALM project aims to revolutionize medieval literature studies by digitally analyzing 26 versions of 'Floire and Blancheflor' to uncover cross-lingual text traditions and their dissemination.