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.
Projectdetails
Introduction
Morphosyntactic properties have long been considered a great challenge for the reconstruction of language history. On the one hand, they can establish deep genealogical relationships because they remain stable for millennia and evolve slowly in time, serving as markers for families.
On the other hand, they may emerge abruptly as a result of borrowing from one language to another or language restructuring under contact. At the same time, grammars develop common properties independently of history and geography, reflecting universal trends.
Recent Findings
Recent findings have shown that morphosyntactic variability significantly correlates with genetic variability, supporting the potential of morphosyntax to unravel both genetic and cultural evolutionary history. Yet the first attempts to reconstruct phylogenetic trees based on morphosyntactic data have been limited in terms of precision and resolution.
There are major disagreements on the genealogical stability and diffusability of morphosyntactic features.
Project Goals
PhylProGramm aims to break new ground in linguistics by pioneering a new way to evaluate morphosyntax in terms of the historical information it contains, using phylogenetic inference methods as a tool.
Based on preliminary results which have shown that trees constructed from morphosyntactic data reflect historical and geographical relationships, we devise novel computational methods that allow us to determine, in combination with rigorous linguistic evaluation, which features are:
- Conservative
- Prone to transfers/borrowings
- Reflect universal patterns at the scales of micro-variation, meso-variation, and macro-variation
Investigation Outcomes
The investigation will lead us to formulate and explain the profile of specific units, their interactions, their organization into networks and/or hierarchies associated with different scales of variation, and their representation in grammar.
This will provide a unique window into the dynamics and typology of language change and variation.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.499.925 |
Totale projectbegroting | € 2.499.925 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- IDRYMA TECHNOLOGIAS KAI EREVNASpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
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Productive Signs. A Computer-Assisted Analysis of Evolutionary, Typological, and Cognitive Dimensions of Word Families
The project aims to explore the evolution, universal processes, and cognitive influences on word family formation by integrating historical, typological, and cognitive linguistic data through new computational models.
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.
Modeling causes of language change and conservatism
This project uses game-theoretic and reinforcement learning models to explore the balance between causes of language change and conservatism, analyzing historical data from three West Germanic languages.
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.
Gates to Language
The GALA project investigates the biological mechanisms of language acquisition in humans and nonhuman species to uncover why only humans can learn language.