  We introduce KazParC, a parallel corpus designed for machine translation
across Kazakh, English, Russian, and Turkish. The first and largest publicly
available corpus of its kind, KazParC contains a collection of 371,902 parallel
sentences covering different domains and developed with the assistance of human
translators. Our research efforts also extend to the development of a neural
machine translation model nicknamed Tilmash. Remarkably, the performance of
Tilmash is on par with, and in certain instances, surpasses that of industry
giants, such as Google Translate and Yandex Translate, as measured by standard
evaluation metrics, such as BLEU and chrF. Both KazParC and Tilmash are openly
available for download under the Creative Commons Attribution 4.0 International
License (CC BY 4.0) through our GitHub repository.
