A 171K-pair Chechen-Russian parallel corpus plus a fine-tuned NLLB-200 model are released, giving the first open Chechen-Russian translation system with human-evaluated quality near Google Translate.
Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak
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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.
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The first open machine translation system for the Chechen language
A 171K-pair Chechen-Russian parallel corpus plus a fine-tuned NLLB-200 model are released, giving the first open Chechen-Russian translation system with human-evaluated quality near Google Translate.