Work

Research of Gpt Algorithms and Analysis for Somelanguages to Suggest the Best Way to Translate Intokazakh

Year: 2024

Type: article

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.

Source: Suleyman Demirel University Bulletin Natural and Technical Sciences

DOI: 10.47344/sdubnts.v65i2.1213

Author: Dinara Khashimova

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4407224499

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