efontes/efontes-latin-upos-v2

eFontes Latin Tagger v2 — POS model

This model assigns Universal POS labels to tokenised Latin text. It is the POS component of the corrected eFontes Latin Tagger v2 release.

Intended use

For normal use, install the public eFontes Tagger runtime, which combines POS, morphological-feature, and lemma models into one local annotation command. Direct use expects an already tokenised sentence.

Evaluation

On the eFontes held-out test split (18,821 tokens), this snapshot achieved 95.57% exact POS accuracy (17,987 / 18,821).

Limitations

The model is intended for Medieval Latin. Accuracy can differ for periods, orthographies, abbreviations, damaged text, and genres not represented in its training and evaluation data. Predictions require scholarly review.

Authorship and lineage

The corrected v2 release is maintained and published by Krzysztof Nowak (2026). It builds on the earlier eFontes research and models described in the 2024 paper below.

Citation

Please cite the versioned eFontes Tagger v2 release together with the original eFontes paper:

Nowak, Krzysztof; Jędrzej Ziębura; Krzysztof Wróbel; and Aleksander Smywiński-Pohl. 2024. eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts: A Cross-Genre Survey. https://doi.org/10.48550/arXiv.2407.00418

Licence

Model weights are released under CC BY-NC-SA 4.0.