Article: Multimedia artificial intelligence technology for accurate translation of scenic area public notices from Chinese to English in ecological translation studies Journal: International Journal of Environmental Technology and Management (IJETM) 2026 Vol.29 No.7 pp.1 - 22 Abstract: To improve the quality and cultural adaptability of Chinese-English translations of public signs in scenic areas, this study constructs an artificial intelligence (AI) translation model integrating the theory of ecological translation studies. The model incorporates a multidimensional adaptation mechanism for language, culture, and communicative function to address the shortcomings of existing models in cultural understanding and accurate expression. Based on the transformer architecture and combining cultural corpora with sentiment analysis technology, the study designs a translation process tailored for scenic area texts. The experimental part includes performance comparisons and simulation experiments. The results show that the proposed optimised model outperforms mainstream models such as M2M-100, mBART-50, and GPT-4 in terms of cultural adaptability, fluency, and information completeness. This study is innovative in combining AI translation with cultural adaptation and provides a feasible approach and method reference for the intelligent language services and cross-cultural communication of scenic areas. Inderscience Publishers - linking academia, business and industry through research

Title: Multimedia artificial intelligence technology for accurate translation of scenic area public notices from Chinese to English in ecological translation studies

Authors: Cui Zhang; Yifan Wang

Addresses: School of Foreign Studies, Suzhou University, Suzhou, 234000, China ' School of Applied Foreign Languages, Wuhu Vocational Technical University, Wuhu, 241003, China

Abstract: To improve the quality and cultural adaptability of Chinese-English translations of public signs in scenic areas, this study constructs an artificial intelligence (AI) translation model integrating the theory of ecological translation studies. The model incorporates a multidimensional adaptation mechanism for language, culture, and communicative function to address the shortcomings of existing models in cultural understanding and accurate expression. Based on the transformer architecture and combining cultural corpora with sentiment analysis technology, the study designs a translation process tailored for scenic area texts. The experimental part includes performance comparisons and simulation experiments. The results show that the proposed optimised model outperforms mainstream models such as M2M-100, mBART-50, and GPT-4 in terms of cultural adaptability, fluency, and information completeness. This study is innovative in combining AI translation with cultural adaptation and provides a feasible approach and method reference for the intelligent language services and cross-cultural communication of scenic areas.

Keywords: ecological translation studies; artificial intelligence translation model; scenic area public notices; cross-cultural adaptability.

DOI: 10.1504/IJETM.2026.155720

International Journal of Environmental Technology and Management, 2026 Vol.29 No.7, pp.1 - 22

Received: 19 Apr 2026
Accepted: 01 Jun 2026
Published online: 11 Aug 2026 *

Title: Multimedia artificial intelligence technology for accurate translation of scenic area public notices from Chinese to English in ecological translation studies

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