THE RUSSIAN-UZBEK PARALLEL CORPUS AS A FOUNDATION FOR MACHINE TRANSLATION: THE CURRENT STATE OF RESEARCH
Keywords:
Russian–Uzbek machine translation; parallel corpus; corpus linguistics; neural machine translation; morphological analysis; alignment; low-resource language.Abstract
This article reviews contemporary research on Russian–Uzbek parallel corpora and their use in machine translation. It examines the concept of a parallel corpus, the stages involved in its compilation, principles of data collection and cleaning, text segmentation and alignment, and morphological and syntactic annotation. Particular attention is paid to the linguistic characteristics of the Russian–Uzbek language pair, including differences in morphology, word formation, and syntax. Current corpus resources, software tools, and neural-network approaches are also reviewed. The article demonstrates that the quality of Russian–Uzbek machine translation is directly related to the volume, representativeness, and linguistic processing of parallel data.
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