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A Comparative Study of Artificial Intelligence and Translation Software in Chinese-English Translation: A Focus on Literary and Technical Texts



Author(s)

LIU Yong-shan

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DOI:10.17265/2159-5836/2024.09.011

Collage of Foreign Languages, University of Shanghai for Science and Technology, Shanghai, China

In recent years, the domain of machine translation has experienced remarkable growth, particularly with the emergence of neural machine translation, which has significantly enhanced both the accuracy and fluency of translation. At the same time, AI also showed its tremendous advancement, with its capabilities now extending to assisting users in a multitude of tasks, including translation, garnering attention across various sectors. In this paper, the author selects representative sentences from both literary and scientific texts, and translates them using two translation software and two AI tools for comparison. The results show that all four translation tools are very efficient and can help with simple translation tasks. However, the accuracy of terminology needs to be improved, and it is difficult to make adjustments based on the characteristics of the target language. It is worth mentioning that one of the advantages of AI is its interactivity, which allows it to modify the translation according to the translator’s needs.

Artificial Intelligence, translation software, literary texts, technical texts

Journal of Literature and Art Studies, September 2024, Vol. 14, No. 9, 815-820