BASED ON DATA FROM ENGLISH CORPORA (COCA, BNC, ARXIV, GOOGLE SCHOLAR) AND UZBEK CORPORA (UZKORPUS, TILKORPUS), THE FREQUENCY OF USAGE OF THE TERMS IS ANALYZED
DOI:
https://doi.org/10.55640/Keywords:
artificial intelligence, corpus linguistics, term frequency, COCA, BNC, UZKorpus, TILKorpus, collocations, semantics, translationAbstract
This study analyzes the frequency of artificial intelligence (AI) terminology based on data from major English corpora (COCA, BNC, arXiv, Google Scholar) and Uzbek corpora (UZKorpus, TILKorpus). The research examines the distribution of terms in real discourse, domain-based variation, collocational patterns, and semantic functions. Corpus-driven comparison highlights differences in frequency, stylistic usage, and translation adaptation strategies across English and Uzbek. The findings provide insights into the current development of AI terminology, its linguistic characteristics, and processes of integration into the Uzbek language.
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