Work

A Comparative Evaluation of Open-Source Models for Russian-Kazakh Translation

Year: 2026
Type: conference-paper
Abstract: We describe an evaluation of several opensource models under identical inference conditions without task-specific training.Despite covering a wide range of available models, including both multilingual systems and models specifically designed for Russian-Kazakh translation, the results indicate that the highest performance is achieved by the language-specific approach.
Institution: ITMO University
Open Access status: gold
OpenAlex ID: W7140097953
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