Summary
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 the other or language restructuring under contact. At the same time, grammars develop common properties independently of history and geography, reflecting universal trends. 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, and there are major disagreements on the genealogical stability and diffusability of morphosyntactic features. 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 or reflect universal patterns at the scales of micro-variation, meso-variation and macro-variation. 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, providing a unique window into the dynamics and typology of language change and variation.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101096554 |
| Start date: | 01-10-2023 |
| End date: | 30-09-2028 |
| Total budget - Public funding: | 2 499 925,00 Euro - 2 499 925,00 Euro |
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Original description
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 the other or language restructuring under contact. At the same time, grammars develop common properties independently of history and geography, reflecting universal trends. 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, and there are major disagreements on the genealogical stability and diffusability of morphosyntactic features. 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 or reflect universal patterns at the scales of micro-variation, meso-variation and macro-variation. 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, providing a unique window into the dynamics and typology of language change and variation.Status
SIGNEDCall topic
ERC-2022-ADGUpdate Date
12-03-2024
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