RESEARCH OF GPT ALGORITHMS AND ANALYSIS FOR SOMELANGUAGES TO SUGGEST THE BEST WAY TO TRANSLATE INTOKAZAKH

Abstract

The landscape of Natural Language Processing (NLP) has witnessed an expansive array of studies, each tailored to address the unique challenges posed by languages from diverse linguistic back- grounds. This paper offers a thorough summary of relevant publications with a particular focus on language models for the following languages: French, Korean, Russian, Turkish, Chinese, Arabic, Bulgarian, Italian, and Indian (including Hindi and Gujarati).
Additionally, the research addresses the challenges and limi- tations involved in the development and application of language models, particularly in Qazaq languages, and provides possible solutions to these problems.