The Eurasian Latin Archive

The Eurasian Latin Archive (ELA) is a digital platform designed to collect and analyse Latin and multilingual texts relating to East Asia from the medieval and early modern periods. Initially developed within the DAS-MeMo project (2018-2020) and subsequently expanded through the SERICA framework, ELA offers textual data and computational tools for corpus-based research. This article presents ELA as a research environment, outlining its data model, technical architecture, and NLP workflow. Through selected examples, it shows how users can query, filter and compare documents. Beyond a functional overview, the article reflects on some methodological challenges in modelling multilingual Latin corpora and sketches possible directions for future extensions of the project.

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Publication Details

Journal
Umanistica Digitale
Published
2026-05-21
DOI
https://doi.org/10.60923/issn.2532-8816/23500
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The Eurasian Latin Archive

Emmanuela Carbé
Umanistica Digitale
Natural Language Processing Techniques
article

The Eurasian Latin Archive

Emmanuela Carbé
article en

Abstract

The Eurasian Latin Archive (ELA) is a digital platform designed to collect and analyse Latin and multilingual texts relating to East Asia from the medieval and early modern periods. Initially developed within the DAS-MeMo project (2018-2020) and subsequently expanded through the SERICA framework, ELA offers textual data and computational tools for corpus-based research. This article presents ELA as a research environment, outlining its data model, technical architecture, and NLP workflow. Through selected examples, it shows how users can query, filter and compare documents. Beyond a functional overview, the article reflects on some methodological challenges in modelling multilingual Latin corpora and sketches possible directions for future extensions of the project.

Umanistica Digitale(23)
Ca' Foscari University of Venice (IT)
Università degli Studi di Siena, Regione Toscana
Quality Education
Openalex Percentile: Top 4%
Natural Language Processing Techniques
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