@inproceedings{nassajian-zeman-2026-extending,
title = "Extending Uniform Meaning Representation to {P}ersian: The First Corpus Resource",
author = "Nassajian, Minoo and
Zeman, Daniel",
editor = "Zhao, Jin and
Post, Claire Benet and
Hoefer, Elizabeth",
booktitle = "Proceedings of The Seventh International Workshop on Designing Meaning Representations ({DMR} 2026) @ {LREC} 2026",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.dmr-1.16/",
doi = "10.63317/5a3irwv9ge3t",
pages = "172--182",
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."
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%0 Conference Proceedings
%T Extending Uniform Meaning Representation to Persian: The First Corpus Resource
%A Nassajian, Minoo
%A Zeman, Daniel
%Y Zhao, Jin
%Y Post, Claire Benet
%Y Hoefer, Elizabeth
%S Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F nassajian-zeman-2026-extending
%X 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.
%R 10.63317/5a3irwv9ge3t
%U https://aclanthology.org/2026.dmr-1.16/
%U https://doi.org/10.63317/5a3irwv9ge3t
%P 172-182
Markdown (Informal)
[Extending Uniform Meaning Representation to Persian: The First Corpus Resource](https://aclanthology.org/2026.dmr-1.16/) (Nassajian & Zeman, DMR 2026)
ACL