Descrizione del progetto
Apprendimento automatico per lo studio delle culture epigrafiche del Mediterraneo antico
Il progetto PythiaPlus, finanziato dall’UE, esaminerà la natura delle culture epigrafiche del mondo greco e romano ricorrendo ai recenti progressi dell’intelligenza artificiale. Le iscrizioni offrono testimonianze dirette sul pensiero, sulla lingua, sulla società e sulla storia dell’antichità. Tuttavia, il numero e la varietà di questi documenti rendono estremamente impegnativo lo studio delle sfumature e dei cambiamenti nelle iscrizioni. Rivoluzionando la nostra capacità di accedere ai dati e di analizzarli grazie all’adozione dei modelli di apprendimento automatico, PythiaPlus interpreterà gli schemi epigrafici scoperti da questi modelli nei testi e nei metadati di migliaia di iscrizioni greche e latine, trasformando la nostra comprensione della comunicazione epigrafica nel Mediterraneo antico.
Obiettivo
PythiaPlus proposes to explore and interpret the nature of the epigraphic cultures of the ancient Mediterranean using Artificial Intelligence. Specifically, it will use Machine Learning (ML) models to trace distinctiveness and change in the Greek and Roman epigraphic evidence on an unprecedented large scale and in unparalleled detail, revealing new insights in linguistic and cultural interactions.
Inscriptions are primary evidence for reconstructing the history and thought of the ancient world, due to their large number and variety in content. However, the chronological development and regional diffusion of inscriptions are not uniform. No print or digital resources exist allowing a precise quantification of inscriptions by time and place, and current approaches are generally confined to specific languages or localised case studies. Recent advances in ML can overcome these limitations: ML is a field of Artificial Intelligence that allows statistical models to discover patterns in large datasets, and learn meaningful representations of them. Because such models can train over vast amounts of data, they can overcome the limitations in quantification and breadth of analysis of current resources and approaches.
By revolutionising our ability to access and analyse the epigraphic data through the implementation of advanced digital technologies, this research will enable and undertake the interpretation of the epigraphic patterns and parallels discovered by ML models across the texts and metadata of thousands of Greek and Latin inscriptions. PythiaPlus will transform our understanding of the use of epigraphic communication and the nature of cultural interference within the written and indirectly spoken languages of the ancient world, making a substantial contribution to the study of Epigraphy and the Historical Sciences.
Campo scientifico
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
30123 Venezia
Italia