Please use this identifier to cite or link to this item: dspace.pdpu.edu.ua/jspui/handle/123456789/19361
Title: Cross-Model Comparison: The Effectiveness of Large Language Models in Translating Political Texts
Authors: Zhang Xueqing
Liang Hong
Keywords: Large Language Models
Automatic Evaluation Metrics
Political Texts Translation
Issue Date: 2024
Publisher: Державний заклад «Південноукраїнський національний педагогічний університет імені К. Д. Ушинського»
Citation: Zhang Xueqing. Cross-Model Comparison: The Effectiveness of Large Language Models in Translating Political Texts / Zhang Xueqing, Liang Hong // Актуальні проблеми філології і професійної підготовки фахівців у полікультурному просторі: Міжнародний журнал. – Випуск 7. – Харбін : Харбінський інженерний університет, 2024 ‒ С.42-44
Abstract: The swift evolution of Large Language Model (LLM) technologies has underscored their expansive applicability across a broad spectrum of disciplines, notably within the realms of natural language processing and machine translation. Machine translation services powered by large language models surpass ordinary machine translation, making their performance in terms of translation quality, proofreading ability, and sentence optimization a new focal point in the field of machine translation and translation studies.
URI: dspace.pdpu.edu.ua/jspui/handle/123456789/19361
Appears in Collections:2024 Вип. 7

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