Research on Tourism Website Content Translation Strategies Based on Machine Translation and Artificial Intelligence
With the deepening of economic globalization, cross-border tourism is becoming more and more popular. Many foreign tourists choose to book and make travel plans through tourism websites when they travel across the border, so the translation of cross-border tourism website content is very important. The quality of content translation of cross-border tourism websites can directly affect the effectiveness and accuracy of information transmission, and even affect the cultural transmission of a country. In recent years, with the rapid development of science and technology, the progress of machine translation and artificial intelligence has provided technical support for the content translation of tourism websites. However, how to effectively convey cultural characteristics in the translation process, so that the translated content can not only accurately convey information, but also convey feelings, spread culture, and promote marketing, has become a topic that needs to be further discussed. By analyzing the translation strategies and problems of the content of tourism e-commerce platforms, this paper aims to explore how to effectively translate the content of cross-border tourism websites through machine translation and artificial intelligence, so as to promote cross-cultural communication, attract cross-border tourists and promote economic development.
Authors
- Huaqian He (ORCID: https://orcid.org/0000-0002-4477-5380)
- Yi Zhou (ORCID: https://orcid.org/0000-0002-8520-8227)
Institutions
- Qingdao University of Science and Technology (CN)
Publication Details
- Journal
- Scientific journal of humanities and social sciences.
- Published
- 2024-11-12
- DOI
- https://doi.org/10.54691/68k89x30
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00