COMHIS/eacl26-detect-latin

1,385 downloads in 30 days0 likesLast modified 5 Oct 2026View on Hugging Face

The declared licence (cc-by-nc-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-4.0, from the tagEvidence: README.md at 38f54bf
Licence files: No licence file at the top level of the repositoryEvidence: file list at 38f54bf
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

@inproceedings{wu-etal-2026-detecting,
  title = "Detecting {L}atin in Historical Books with Large Language Models: A Multimodal Benchmark",
  author = {Wu, Yu and
    Shu, Ke and
    Fischer, Jonas and
    Pivovarova, Lidia and
    Rosson, David and
    M{\"a}kel{\"a}, Eetu and
    Tolonen, Mikko},
  editor = "Demberg, Vera and
    Inui, Kentaro and
    Marquez, Llu{\'i}s",
  booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
  month = mar,
  year = "2026",
  address = "Rabat, Morocco",
  publisher = "Association for Computational Linguistics",
  url = "https://aclanthology.org/2026.eacl-long.245/",
  doi = "10.18653/v1/2026.eacl-long.245",
  pages = "5305--5328",
  ISBN = "979-8-89176-380-7",
  abstract = "This paper presents a novel task of extracting low-resourced and noisy Latin fragments from mixed-language historical documents with varied layouts. We benchmark and evaluate the performance of large foundation models against a multimodal dataset of 724 annotated pages. The results demonstrate that reliable Latin detection with contemporary zero-shot models is achievable, yet these models lack a functional comprehension of Latin. This study establishes a comprehensive baseline for processing Latin within mixed-language corpora, supporting quantitative analysis in intellectual history and historical linguistics. Both the dataset and code are available at https://github.c

All datasets marked Use restrictions | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "COMHIS/eacl26-detect-latin" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0