Machine translation for low resource language pairs is a challenging task. This task could become extremely difficult once a speaker uses code switching. We propose a method to build a machine translation model for code-switched Kazakh-Russian language pair with no labeled data. Our method is basing on generation of synthetic data. Additionally, we present the first codeswitching Kazakh-Russian parallel corpus and the evaluation results, which include a model achieving 16.48 BLEU almost reaching an existing commercial system and beating it by human evaluation.
View on arXiv@article{borisov2025_2503.20007,
title={ Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair },
author={ Maksim Borisov and Zhanibek Kozhirbayev and Valentin Malykh },
journal={arXiv preprint arXiv:2503.20007},
year={ 2025 }
}