Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866910893425557504 |
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| author | Borisov, Maksim Kozhirbayev, Zhanibek Malykh, Valentin |
| author_facet | Borisov, Maksim Kozhirbayev, Zhanibek Malykh, Valentin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_20007 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair Borisov, Maksim Kozhirbayev, Zhanibek Malykh, Valentin Computation and Language Machine Learning 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. |
| title | Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2503.20007 |