Extending Uniform Meaning Representation to Persian: The First Corpus Resource

Minoo Nassajian, Daniel Zeman


Abstract
Uniform Meaning Representation (UMR) has cross-linguistic design principles that make it particularly well-suited as a semantic representation framework for capturing all language-specific phenomena. Despite its growing adoption, no UMR corpus currently exists for Persian. In this paper, we present the first version of a Persian UMR dataset created through a rule-based conversion of existing Persian AMR annotations from The Little Prince corpus, followed by manual mapping of split semantic roles from AMR to their finer-grained UMR counterparts. We report detailed statistics on the conversion, analyze the challenges of mapping Persian AMR structures into UMR, and provide illustrative examples. The resource is freely available and it lays the groundwork for subsequent enrichment of Persian UMR with additional semantic layers, including co-reference, named entities, and discourse relations.
Anthology ID:
2026.dmr-1.16
Volume:
Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026
Month:
May
Year:
2026
Address:
Palma, Mallorca (Spain)
Editors:
Jin Zhao, Claire Benet Post, Elizabeth Hoefer
Venues:
DMR | WS
SIG:
Publisher:
ELRA Language Resources Association (ELRA)
Note:
Pages:
172–182
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-dmr-16
DOI:
10.63317/5a3irwv9ge3t
Bibkey:
Cite (ACL):
Minoo Nassajian and Daniel Zeman. 2026. Extending Uniform Meaning Representation to Persian: The First Corpus Resource. In Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026, pages 172–182, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):
Extending Uniform Meaning Representation to Persian: The First Corpus Resource (Nassajian & Zeman, DMR 2026)
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