latin-legal-forward (FLAIR)

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Authors: Michael Schonhardt
Cited by: 0

Abstract

Latin Contextual String Embeddings (Forward) This model provides contextual string embeddings for Latin, trained as part of the projects "Embedding the Past" (LOEWE-Exploration, TU Darmstadt) and Burchards Dekret Digital (Lamngzeitvorhaben, Akademie der Wissenschaften und der Literatur | Mainz). It is specifically optimized for **Medieval and Early Modern legal texts**, but it serves as a robust general-purpose embedding for Medieval Latin. More information in README.md. This is a mirror of https://huggingface.co/mschonhardt/latin-legal-forward

Fields of Study & Subjects

Topic Modeling Digital Humanities and Scholarship Artificial Intelligence in Law

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Dataset