Application of Artificial Intelligence in Machine Translation

  • Hao ChenEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)


With the continuous progress of in-depth learning and the rapid development of artificial intelligence technology, AI translation came into being. And the quality of AI translation will gradually be comparable to that of human translation. Due to the high efficiency and long-term stable operation, AI translation will gradually increase its market share in the future. According to the analysis of international institutions, one per yuan output value of translation will drive five yuan output to the related industries. At the same time, with the vigorous development of China’s “One Belt, One Road” and the deepening cooperation in the WTO, China’s AI translation industry will usher in an unprecedented development opportunity. Today, China’s artificial intelligence, such as face recognition, speech recognition, security monitoring, smart speakers, smart home and other fields, is at the forefront of the world, all of which are amazing. Besides, deep learning is a hot research field. This paper will takes machine translation, an important application branch of this field, as an example to discuss the development status, technical characteristics and some drawbacks of artificial intelligence.


Artificial intelligence Machine translation Deep learning 


  1. 1.
    Ma, R.: The cognitive turn of translation study in artificial intelligence era. In: International Conference on Humanities and Social Science Research (2018)Google Scholar
  2. 2.
    Zhou, L., Leng, X.: Official document and its translation with the adaptation theory. In: Art Science and Technology, pp. 167–168 (2013)Google Scholar
  3. 3.
    Yu, B.: Artificial intelligence and statistics. Front. Inf. Technol. Electron. Eng. 1, 1–9 (2018)MathSciNetGoogle Scholar
  4. 4. Introduces Media. Next Cloud-Based Localization Solution Powered by AI. Wireless News (2018)Google Scholar
  5. 5.
    Apter, E.: On translation in a global market. Public Cult. 13(1), 1–12 (2001)CrossRefGoogle Scholar
  6. 6.
    Zhang, S.: Taking machine translation as an example to analyze the application of artificial intelligence technology. Farm Staff (5), 211 (2019)Google Scholar
  7. 7.
    Gao, M., Yu, Z.: Review of neural machine translation. J. Yunnan Univ. Natl. (Nat. Sci. Ed.) (1), 72–76 (2019)Google Scholar
  8. 8.
    Xu, Y.: Application prospect analysis of artificial intelligence translation. Coop. Econ. Technol. (19), 78–81 (2018)Google Scholar
  9. 9.
    Song, S.: On the future relationship between machine translation and human translation. Fut. Devel. (2), 25–30 (2019)Google Scholar
  10. 10.
    Wilks, Y.: An artificial intelligence approach to machine translation (1973)Google Scholar
  11. 11.
    Wang, K.: Translation as process and as product: a perspective of cognition, language communication and meaning, 215, 216, 132, 77, 26, 238, 346. China Social Sciences Press, Beijing (2008)Google Scholar
  12. 12.
    Reddy, M.: The conduit metaphor: a case of frame conflict in our language about language. In: Ortony, A. (ed.) Metaphor and Thought, pp. 284–310. Cambridge University Press, Cambridge (1979)Google Scholar
  13. 13.
    Shen, J.: Illusions and Misunderstandings in Translation. Collected on Theoretical Construction and Cultural Perspective of Translation. Shanghai Foreign Language Education Press, Shanghai (2000)Google Scholar
  14. 14.
    Tan, Y.: Prolegomena to Cognitive Translatology: Cognitive Paths and Constraints of Creative Translation. Shanghai Foreign Education Press, Shanghai (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Guilin University of Electronic TechnologyGuilinChina

Personalised recommendations