Papers by Eetu Mäkelä

1 papers
Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark (2026.eacl-long)

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Challenge: This paper presents a novel task of extracting low-resourced and noisy Latin fragments from mixed-language historical documents with varied layouts.
Approach: They propose to extract low-resourced and noisy Latin fragments from mixed-language historical documents with varied layouts using a multimodal dataset.
Outcome: The proposed model lacks a functional comprehension of Latin, but reliable detection is achievable with zero-shot models.

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