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Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak

Computation and Language 2024-09-09 v1

Abstract

This study presents several contributions for the Karakalpak language: a FLORES+ devtest dataset translated to Karakalpak, parallel corpora for Uzbek-Karakalpak, Russian-Karakalpak and English-Karakalpak of 100,000 pairs each and open-sourced fine-tuned neural models for translation across these languages. Our experiments compare different model variants and training approaches, demonstrating improvements over existing baselines. This work, conducted as part of the Open Language Data Initiative (OLDI) shared task, aims to advance machine translation capabilities for Karakalpak and contribute to expanding linguistic diversity in NLP technologies.

Keywords

Cite

@article{arxiv.2409.04269,
  title  = {Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak},
  author = {Mukhammadsaid Mamasaidov and Abror Shopulatov},
  journal= {arXiv preprint arXiv:2409.04269},
  year   = {2024}
}

Comments

Submitted to WMT 2024

R2 v1 2026-06-28T18:36:28.721Z