UppsalaNLP at EvaLatin 2026: Multilingual parsing for Latin

Abstract

We describe the UppsalaNLP submission to the EvaLatin dependency parsing shared task. We explore using an out-of-the-box parser in combination with multi-treebank training on Latin and multilingual training on other ancient languages. Adding additional languages yields only small gains, but the results vary across treebanks and genres, with the largest positive effect for poetry. Our systems perform best in the shared task for prose but are less competitive for poetry, indicating the need for genre adaptation.

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