Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbek

Mukhammadsaid Mamasaidov, Azizullah Aral, Abror Shopulatov, Mironshoh Inomjonov


Abstract
Southern Uzbek (uzs) is a Turkic language variety spoken by around 5 million people in Afghanistan and differs significantly from Northern Uzbek (uzn) in phonology, lexicon, and orthography. Despite the large number of speakers, Southern Uzbek is underrepresented in natural language processing. We present new resources for Southern Uzbek machine translation, including a 997-sentence FLORES+ dev set, 39,994 parallel sentences from dictionary, literary, and web sources, and a fine-tuned NLLB-200 model (lutfiy). We also propose a post-processing method for restoring Arabic-script half-space characters, which improves handling of morphological boundaries. All datasets, models, and tools are released publicly to support future work on Southern Uzbek and other low-resource languages.
Anthology ID:
2025.wmt-1.83
Volume:
Proceedings of the Tenth Conference on Machine Translation
Month:
November
Year:
2025
Address:
Suzhou, China
Editors:
Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venue:
WMT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1081–1087
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.wmt-1.83/
DOI:
Bibkey:
Cite (ACL):
Mukhammadsaid Mamasaidov, Azizullah Aral, Abror Shopulatov, and Mironshoh Inomjonov. 2025. Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbek. In Proceedings of the Tenth Conference on Machine Translation, pages 1081–1087, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbek (Mamasaidov et al., WMT 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-emnlp/2025.wmt-1.83.pdf