2026
EACL
EACL 2026
A Comparative Evaluation of Open-Source Models for Russian-Kazakh Translation
Abstract
AbstractWe describe an evaluation of several open-source 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.
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Keyword Pioneer
— russian-kazakh translation
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio