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Neural Machine Translation of Arabic to English Legal Texts Using Trados Studio

Efficiency and Consistency From the Perspective of Saudi Translation Students’ Post-Editing Practices

Bibliographic Data

ID21806706
AuthorsMimouna Zitouni (0000-0002-4167-3602, Princess Nourah bint Abdulrahman University), Fadia Alshehri (Princess Nourah bint Abdulrahman University), Nadia Idri (University of Béjaïa)
Year2024
Volume14
Issue7
Pages2251-2262
Publication date2024-07-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTheory and Practice in Language Studies (JOURNAL)
Journal identifiersISSN: 1799-2591 • E-ISSN: 2053-0692
PublisherAcademy Publication (PUBLISHER • GB)
DOI10.17507/tpls.1407.33
OpenAlexW4400759903
LanguageEN
References cited4

This article examines the efficiency and consistency of Trados Studio in Arabic-English legal translation by analyzing the post-editing practices of 15 female Saudi translation students. The legal texts used are moderately complex, laden with Saudi-specific legal terminology and Islamic rules, sourced from Adel Azzam Saqf Al-Hait's "The Reliable Guide to Legal Translation" (2012). The Trados Studio Machine Translation Post-Editing Questionnaire (TMTPEQ) was employed to gather users’ insights. The study utilizes mixed methods, combining qualitative content analysis of Trados Studio-translated texts and student post-editing tasks with descriptive quantitative analysis of the questionnaire. The results reveal the ongoing challenge of achieving precision and extra-linguistic significance in written texts, especially in legal translation, exacerbated by specialized terminology, cultural nuances, and complex syntax. They also underscore the significance of qualitative assessments in post-edited translations, emphasizing the multifaceted role of translators encompassing linguistic, cultural, and specialized content precision and functional and legal equivalence

Arabic · Linguistics · Natural language processing · Syntax · Terminology · Computer Science · Natural Language Processing Techniques · Psychology · Topic Modeling · Translation Studies and Practices · Artificial Intelligence

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Citation velocityhistorical
Highly citedNo

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