Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair

Maksim Borisov, Zhanibek Kozhirbayev, Valentin Malykh
3/25/2025
cs.CLcs.LG

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Abstract

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.

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Cite this paper

@article{borisov2025lowresource,
  title  = {Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair},
  author = {Maksim Borisov and Zhanibek Kozhirbayev and Valentin Malykh},
  year   = {2025},
  eprint = {2503.20007},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2503.20007v1}
}

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