Giulia Pedonese
2026
Integrating Services, Platforms and Resources into a National Infrastructure Cluster for FAIR Language and Cultural Data
Giulia Pedonese | Daniele Melaccio | Michele Mallia | Monica Monachini | Francesca Frontini | Valeria Quochi | Fahad Khan | Angelo Mario Del Grosso | Federico Boschetti | Riccardo Del Gratta
Proceedings of the Fifteenth Language Resources and Evaluation Conference
Giulia Pedonese | Daniele Melaccio | Michele Mallia | Monica Monachini | Francesca Frontini | Valeria Quochi | Fahad Khan | Angelo Mario Del Grosso | Federico Boschetti | Riccardo Del Gratta
Proceedings of the Fifteenth Language Resources and Evaluation Conference
In the context of evolving European and national policies for research infrastructure governance, this paper presents the contribution of a national consortium for language resources and technology to the construction of a national infrastructure for FAIR and interoperable language and cultural data within a broader Humanities and Heritage Open Science initiative. As the national node of a European research infrastructure for language resources, the consortium contributes to translating FAIR and Open Science principles into practice by integrating technical, methodological, and training dimensions. Its activities combine several coordinated components: FAIRification workflows and ontology-based metadata mediation to enhance semantic interoperability across infrastructures; the refactoring and exposure of services through a federated API gateway; and the implementation of a Linguistic Linked Open Data (LLOD) pilot for the validation, transformation, and publication of interoperable RDF datasets. A national training ecosystem — comprising a training platform and a FAIR learning library — supports capacity building and the creation of FAIR-by-design learning materials. Finally, a permanent research observatory monitors community practices and needs, providing evidence-based insights for the continuous improvement of services and training provision. Together, these components demonstrate a coherent strategy for implementing FAIR and Open Science at the national level, while ensuring alignment with major European and national initiatives in the SSH data ecosystem.
2023
Linking the Computational Historical Semantics corpus to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin
Giulia Pedonese | Flavio Massimiliano Cecchini | Marco Carlo Passarotti
Proceedings of the 4th Conference on Language, Data and Knowledge
Giulia Pedonese | Flavio Massimiliano Cecchini | Marco Carlo Passarotti
Proceedings of the 4th Conference on Language, Data and Knowledge
2022
A Treebank-based Approach to the Supprema Constructio in Dante’s Latin Works
Flavio Massimiliano Cecchini | Giulia Pedonese
Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages
Flavio Massimiliano Cecchini | Giulia Pedonese
Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages
This paper aims to apply a corpus-driven approach to Dante Alighieri’s Latin works using UDante, a treebank based on Dante Search and part of the Universal Dependencies project. We present a method based on the notion of barycentre applied to a dependency tree as a way to calculate the “syntactic balance” of a sentence. Its application to Dante’s Latin works shows its potential in analysing the style of an author, and contributes to the interpretation of the supprema constructio mentioned in DVE II vi 7 as a well balanced syntactic pattern modeled on Latin literary writing.