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A Less than Lay-Friendly Translation

A Textual Analysis of Information Leaflets and Labels for Drug and Cosmeceuticals in Thailand

Bibliographic Data

ID14823447
AuthorsNarongdej Phanthaphoommee (0000-0002-5607-6261, Ph.D., Assistant Professor, Research Institute for Languages and Cultures of Asia, Mahidol University, Nakhon Pathom, Thailand, corresponding author), Koraya Techawongstien (0000-0003-0548-3905, Ph.D., Assistant Professor, Research Institute for Languages and Cultures of Asia, Mahidol University, Nakhon Pathom, Thailand)
Year2024
Volume27
Issue1
Pages1-24
Publication date2024-12-03
Open AccessYes
TypeARTICLE
VenueManusya Journal of Humanities (JOURNAL)
Journal identifiersISSN: 0859-9920 • E-ISSN: 2665-9077
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1163/26659077-20242704
OpenAlexW4403789527
LanguageEN
References cited10

Information on drug use should be easily comprehensible and provide clear instructions without relying on expert advice. Drawing upon the concept of lay-friendly translation (Askehave and Zethsen 2002, 2014; Jensen 2013), this study examines the translated information leaflets and labels of drug-related and cosmeceutical products in Thailand to understand characteristics of supposedly reachable language use. The findings reveal both lay-friendly and non-lay-friendly features in the English-to-Thai translations. Indicative of the former is the use of general terms, explanation, glossing, rewriting/summarising, syntactical shift, and stylistic shift. Instances of the latter include the direct transfer of field-specific terms and the use of Thai medical vocabulary. The Thai-to-English translation tends to adhere to the original version, including textual organisation and compliance with Thai legislation, yet the cultural-specific items are omitted. The presence of both lay-friendly and non-lay-friendly elements in a single translation contributes to a ‘less than lay-friendly’ translation

Advertising · Business · Cosmeceuticals · Cosmetics · Pathology · Traditional medicine · Chemistry · Computational Drug Discovery Methods · Computer Science · Medicine

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