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Research and review articles are invited for publication in September - October 2026 (Volume 18, Issue 1) Submit manuscript

Comparative analysis of translation platforms: Accuracy, fluency, and unambiguity from a technological perspective

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GUO NYUHUAN *

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
DOI url: https://doi.org/10.30574/msarr.2024.11.1.0082
Received on 09 April 2024; revised on 18 May 2024; accepted on 21 May 2024
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.
Translation Platforms; News; Accuracy; Fluency; Unambiguity
https://msarr.magnascientiapub.com/sites/default/files/fulltext_pdf/MSARR-2024-…

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GUO NYUHUAN. Comparative analysis of translation platforms: Accuracy, fluency, and unambiguity from a technological perspective. Magna Scientia Advanced Research and Reviews, 2024, 11(1), 147-156. Article DOI: https://doi.org/10.30574/msarr.2024.11.1.0082

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