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

2025-03-25 · Maksim Borisov, Zhanibek Kozhirbayev, Valentin Malykh

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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