Comparative analysis of translation platforms: Accuracy, fluency, and unambiguity from a technological perspective
The School of Foreign Studies, Zhaoqing University, Guangdong, China.
Review Article
Magna Scientia Advanced Research and Reviews, 2024, 11(01), 147–156
Article DOI: 10.30574/msarr.2024.11.1.0082
Publication history:
Received on 09 April 2024; revised on 18 May 2024; accepted on 21 May 2024
Abstract:
This study aims to evaluate and compare the performance of leading translation platforms (Youdao, Google, Baidu, and ChatGPT) for translating news texts. The evaluation focuses on three key dimensions: accuracy, fluency, and unambiguity. Each platform was tested by translating a Chinese news article, and their outputs were analyzed for their handling of specialized terminology, linguistic fluency, and cultural adaptability. The findings reveal significant performance differences, reflecting varying levels of technological maturity, data quality, and cultural adaptability among the platforms. ChatGPT emerged as the top performer due to its high accuracy and fluency, while Youdao, Baidu, and Google exhibited varying strengths and limitations in handling complex news texts. Ultimately, the results highlight the importance of continuous technological innovation and theory-practice integration in improving translation quality, particularly for accurate and effective global news dissemination.
Keywords:
Translation Platforms; News; Accuracy; Fluency; Unambiguity
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0