DiAET – Digitally Annotated Ecological Texts (v1.0) is a scholarly dataset of Late Antique Latin texts encoded in XML and enriched with fine-grained semantic annotations. Created within the PRIN PNRR 2022 project HUMAns in Nature. New Insights into Late Ancient Latin Texts in light of an Ecocritical Approach, the dataset aims to support research on representations of nature, ecology, and human–environment relations in Late Antiquity. Each work is provided through three coordinated XML files: a base text, a file containing manual annotations expressed in a Domain-Specific Language (DSL), and a parsed, machine-readable version of those annotations. The annotation model focuses on predicate–argument structures, semantic roles, referential relations, and ecocritical concepts, combining human-readable annotation practices with computational usability. The dataset follows TEI P5 principles and CLARIN recommendations, ensuring interoperability and reuse. It is suitable for digital philology, semantic role analysis, corpus linguistics, and Natural Language Processing for Latin, as well as for interdisciplinary studies in ecocriticism and environmental humanities. The data are released under a CC BY-SA 4.0 license. Principal investigator: Paola Francesca Moretti. Milan Research Unit: Paola Francesca Moretti, Massimo Gioseffi, Amedeo Alessandro Raschieri, Andrea Pizzotti, Giovanna Tirrasi. L'Aquila Research Unit: Stefania Filosini, Alessia Prontera, Ilaria Ponti.

DiAET - Digitally Annotated Ecological Texts (v1.0) / A. Prontera, F.B.. - (2026 Feb 28).

DiAET - Digitally Annotated Ecological Texts (v1.0)

A. Pizzotti;A.A. Raschieri
2026

Abstract

DiAET – Digitally Annotated Ecological Texts (v1.0) is a scholarly dataset of Late Antique Latin texts encoded in XML and enriched with fine-grained semantic annotations. Created within the PRIN PNRR 2022 project HUMAns in Nature. New Insights into Late Ancient Latin Texts in light of an Ecocritical Approach, the dataset aims to support research on representations of nature, ecology, and human–environment relations in Late Antiquity. Each work is provided through three coordinated XML files: a base text, a file containing manual annotations expressed in a Domain-Specific Language (DSL), and a parsed, machine-readable version of those annotations. The annotation model focuses on predicate–argument structures, semantic roles, referential relations, and ecocritical concepts, combining human-readable annotation practices with computational usability. The dataset follows TEI P5 principles and CLARIN recommendations, ensuring interoperability and reuse. It is suitable for digital philology, semantic role analysis, corpus linguistics, and Natural Language Processing for Latin, as well as for interdisciplinary studies in ecocriticism and environmental humanities. The data are released under a CC BY-SA 4.0 license. Principal investigator: Paola Francesca Moretti. Milan Research Unit: Paola Francesca Moretti, Massimo Gioseffi, Amedeo Alessandro Raschieri, Andrea Pizzotti, Giovanna Tirrasi. L'Aquila Research Unit: Stefania Filosini, Alessia Prontera, Ilaria Ponti.
28-feb-2026
Late Antique Latin texts; Semantic annotation; Predicate–argument structure; Digital philology; Natural Language Processing for Latin; Ecocriticism
Settore LATI-01/A - Lingua e letteratura latina
https://sites.unimi.it/human
http://hdl.handle.net/20.500.11752/OPEN-2163
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