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  1. Attività

Syntax out of Africa. Deep history through human grammars

Progetto
The Parametric Comparison Method (PCM) is a procedure of phylogenetic reconstruction that, for the first time, uses abstract cognitive structures (syntactic parameters) as historical comparanda; thanks to their universal and discrete nature, these entities allow precise measurements of crosslinguistic distances even between long-separated languages, a task unattainable through traditional comparative methods, mostly due to the lack of sound regularities beyond established language families. Contrary to most claims over the past two centuries, the PCM has demonstrated that grammars retain deep historical signals and has been successful in studying cross-family language relations in Eurasia. This project takes up the challenge of pushing the historical power of the PCM toward deeper levels of comparison, previously unexplored for lack of methods able to extract deep historical signals from languages. If successful, it will open groundbreaking perspectives for a modern cognitive approach to linguistic prehistory and historical anthropology. We will extend parametric comparisons to two areas which display a high degree of language diversity and whose past is controversial in many respects: Southeast Asia and the Pacific, and the Americas. We will address hotly debated and methodologically vexed issues concerning the phylogenetic structure and historical relations of their languages/populations through a radically new approach. We will explore typologically diverse and often highly endangered languages whose heritage is at high risk of being lost forever, thus contributing to their preservation and to our understanding of the variation allowed by human syntax. In so doing, we will generate computational phylogenies based on syntactic data only. After assessing their statistical robustness, we will compare them to the classifications proposed in the literature (whenever available at all) and to recent discoveries in archaeology and population genetics, aiming at a synthetic approach to human prehistory.
  • Dati Generali
  • Competenze

Dati Generali

Partecipanti

GUARDIANO Cristina   Responsabile scientifico  

Dipartimenti coinvolti

Dipartimento di Comunicazione ed Economia   Principale  

Tipo

FIS 2 - Fondo italiano per la scienza 2022-2023

Finanziatore

Ministero dell'Università e della Ricerca
Ente Finanziatore

Partner

Università degli Studi di MODENA e REGGIO EMILIA

Contributo Totale (assegnato) Ateneo (EURO)

2.009.957,95€

Periodo di attività

Febbraio 19, 2026 - Febbraio 18, 2029

Durata progetto

36 mesi

Competenze

Settori (3)


SH4_10 - Language typology; historical linguistics - (2024)

SH4_9 - Theoretical linguistics; computational linguistics - (2024)

Settore GLOT-01/A - Glottologia e linguistica
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