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

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.