THE IMPORTANCE OF THE PARALLEL CORPUS AS A LINGUISTIC BASE
Keywords:
computational linguistics; parallel corpus; artificial intelligence; natural language processing (NLP); Uzbek language corpus; machine translation; GPT; BERT; corpus linguistics; linguistic database; transformative model; language modeling; translation technologies.Abstract
This article is devoted to the analysis of research conducted in the field of computational linguistics worldwide and in Uzbekistan during the period from 2020 to 2025. The study covers theoretical frameworks of computational linguistics, artificial intelligence–based language models (GPT, BERT, LLaMA, and others), as well as the role of parallel corpora as a linguistic foundation. An analysis of international experience demonstrates that over the past five years, the priority areas in computational linguistics have included the training of linguistic models based on neural transformer architectures, the development of multilingual parallel corpora, and the improvement of machine translation systems.
In Uzbekistan, the field of computational linguistics is observed to be transitioning from a predominantly applied stage to a more scientific and analytical phase through projects such as the Uzbek language corpus (uzbekcorpus.uz) and Paratranslator. The research employs systematic analysis of scientific literature, comparative linguistic and corpus-based methods, as well as the analytical capabilities of artificial intelligence models.
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