Open Language Data Initiative: Advancing Low-Resource Machine
  Translation for Karakalpak
Authors: name: Mukhammadsaid Mamasaidov, name: Abror Shopulatov

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.