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On the English Translation of Culture-Loaded Words in Tourist Texts in Light of Skopos Theory

A Case Study of Attractions in Nanjing

Bibliographic Data

ID21806644
AuthorsCheng Chen (0000-0002-3583-9370, University of Hong Kong), Yufen Zhou (Nanjing Normal University)
Year2025
Volume15
Issue5
Pages1471-1479
Publication date2025-05-01
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.1505.12
OpenAlexW4410006916
LanguageEN
Citations received1
References cited3

Tourist texts, serving as an essential introduction, carry crucial importance in the tourist industry and bridge the gap between Chinese culture and visitors. Therefore, to facilitate foreign visitors to obtain a comprehensive grasp of local culture, the English translation of tourist texts, especially those culture-loaded words inside, should be prioritised. Prior studies on translations of cultural terminologies in tourism offer a range of strategies and methodologies. Yet Chinese cultural connotation is intricate and implicit due to its various formation processes, complicating the search for appropriate English equivalents. Instructed by Skopos Theory, the study collects culture-loaded words regarding three prominent tourist attractions in Nanjing, namely Nanjing Museum, Imperial Examination Museum of China, and Nanjing Presidential Palace. The research examines the implementation of three translation principles of skopos rule, coherence rule, and fidelity rule. Findings reveal that many translations fall short of expectations, primarily due to deviations from these principles. The research evaluates the current translation version, identifies key issues, and provides systematic recommendations for further modification. Working as a reference for translating tourism materials, this study also lays the foundations for further tourist translation research

Linguistics · Skopos theory · Tourism · Chemistry · Computer Science · History · Philosophy · Psychology · Translation Studies and Practices · Artificial Intelligence

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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