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

• URL: http://arxiv.org/abs/2503.20007v1
• Date: Tue, 25 Mar 2025 18:46:30 GMT
• Title: Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair
• Authors: Maksim Borisov, Zhanibek Kozhirbayev, Valentin Malykh,
• Abstract summary: We propose a method to build a machine translation model for code-switched Kazakh-Russian language pair with no labeled data.<n>We present the first codeswitching Kazakh-Russian parallel corpus and the evaluation results.
• Score: 4.445432761373431
• License: http://creativecommons.org/licenses/by/4.0/
• 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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