Research of GPT algorithms and analysis for some languages to suggest the best way to translate into Kazakh

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 backgrounds. 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 limitations involved in the development and application of language models, particularly in Qazaq languages, and provides possible solutions to these problems.