Research on the Development of Software for Authentic Cross-Cultural Communication Against the Background of Artificial Intelligence Development

Main Article Content

Xueying Jiao

Keywords

artificial intelligence, cross-cultural communication, software development, market demand, marketing strategy

Abstract

With the rapid advancement of globalization, the demand for authentic cross-cultural communication has surged substantially, yet traditional translation software suffers from prominent shortcomings in emotional interaction and cultural connotation transmission, failing to meet practical communication needs. Focusing on developing AI-enabled authentic cross-cultural communication software, this study analyzes the current status of international cross-cultural communication and machine translation’s development process, and explores the machine translation market from the dimensions of inter-field demand differences, market scale, competitive landscape and user group characteristics to clarify the software’s market positioning and development direction. On this basis, it designs a software system integrating real-time dialogue, AI intelligent assistance, social interaction and cultural experience, elaborates on its core functions, innovation points and product features, and formulates a comprehensive marketing strategy covering social media promotion, cooperative alliance, data analysis and user experience optimization. The research finds that in-depth integration of artificial intelligence into such software development effectively compensates for the defects of traditional translation tools, enabling authentic and barrier-free cross-cultural communication. This software boasts significant practical application value and broad market development prospects in daily life, business cooperation, technological exchange and other diverse fields.

Abstract 45 | PDF Downloads 25

References

  • [1] Zong, C. Research Progress and Prospects of Machine Translation, Science China: Information Sciences. 2020, 50(7), 967-994.
  • [2] He, H., Che, W., Cui, Y., Sun, L. Application and Challenges of Natural Language Processing Technology in Cross-Cultural Communication, Chinese Journal of Information Processing. 2021, 35(5), 1-14.
  • [3] Huang, G. Pragmatic Research on Cross-Cultural Communication. Beijing: Foreign Language Teaching and Research Press; 2017.
  • [4] Wu, J. Intelligent Era: Big Data and Intelligent Revolution Re-Defining the Future. Beijing: CITIC Press; 2020.
  • [5] Wang, N., Li, A. Market Landscape and Development Trends of Artificial Intelligence Empowering Machine Translation, Publishing Perspective. 2022(12), 78-81.
  • [6] Hu, G. Cross-Cultural Communication and International Cooperation: Theory and Practice. Beijing: Higher Education Press; 2019.
  • [7] Zhou, M., Liu, Q. Research and Development of Neural Machine Translation, Journal of Computer Science. 2019, 42(1), 1-31.
  • [8] Zhang, Y., Wang, J. User Demand Analysis of Cross-Cultural Communication Software in the Context of Globalization, Journal of Information. 2020, 39(S1), 198-210.