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Liang Hong Cross-Model Comparison: the Effectiveness of Large Language Models in Translating Political Texts

Year: 2024

Type: article

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. Thus, to comprehensively evaluate the efficacy of machine translation applications in translating political texts under different technological and algorithmic contexts, a curated test dataset comprising 200 typical sentences pertinent to political contexts was developed. leveraging the unique linguistic structural nuances of political texts.

Source: Modern vectors of science and education development in China and Ukraine

DOI: 10.24195/2414-4746-2024-10-32

Author: Zhang Xueqing

Institution: Harbin Engineering University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4408729992

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