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Title: Natural vs artificial intelligence and neural machine translation in specialised translation: A comparative study

 

Vol. 13(3), 2025, pp. 135-148.

DOI: https://doi.org/10.46687/XZWW6164.  

 

Author: Irina Stoyanova-Georgieva

About the author: Irina Stoyanova-Georgieva, PhD is a lecturer in the English Studies Department of Konstantin Preslavsky University of Shumen, Bulgaria. She has done a translation traineeship at the European Parliament and has a PhD thesis on the use of intensifiers in letters to the editor in British and Bulgarian newspapers and magazines. Her main interests are in the field of translation studies and translation technologies.

E-mail: i.stoyanova-georgieva@shu.bg         

ORCID: https://orcid.org/0000-0003-4065-4917

Link: http://silc.fhn-shu.com/issues/2025-3/SILC_2025_Vol_13_Issue_3_135-148_14.pdf

 

Citation (APA): Stoyanova-Georgieva, I. (2025). Natural vs artificial intelligence and neural machine translation in specialised translation: A comparative study. Studies in Linguistics, Culture, and FLT, 13(3), 135-148. https://doi.org/10.46687/XZWW6164

 

Abstract: The current study aims to identify the differences between human and hybrid translation, analyse the impact of Neural Machine Translation and Artificial Intelligence on the final product, and evaluate the performance of two groups of students translating specialised texts. The first group relies on advanced technology, utilising both Neural Machine Translation and Artificial Intelligence, while the second group depends solely on natural intelligence. The results indicate that technology does not necessarily ensure quality in specialised translations. The quality assurance process shows that high-quality translation is only achieved by experienced translators who are fluent in the target language and possess a strong understanding of the subject matter. Such individuals are less prone to making inadequate translation decisions under NMT influence and are more likely to implement necessary modifications during post-editing.

Keywords: Machine Translation (MT), Neural Machine Translation (NMT), Post-Editing, Human Translation (HT), Hybrid Translation

 

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