Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on the Application of Artificial Intelligence in Machine Translation

Download as PDF

DOI: 10.23977/jaip.2020.040201 | Downloads: 15 | Views: 215

Author(s)

Wang LingZhi 1

Affiliation(s)

1 Busan University of Foreign Studies, Busan, Korea

Corresponding Author

Wang LingZhi

ABSTRACT

Under the influence of the development of big data and cloud computing technology, machine translation based on artificial intelligence has gradually entered people's lives. Compared with manual translation, machine translation is inexpensive, convenient and practical, and can translate text anytime, anywhere, and can meet the translation needs of more than a hundred languages, but machine translation is not culturally sensitive, and cannot connect text and language mood. In this regard, in-depth analysis of the similarities and differences between human translation and machine translation, and research on the development strategy of the translation industry at this stage based on the future of human translation, and ultimately promote the synchronization of human translation and machine translation while continuously improving the translation level of translators' development.

KEYWORDS

Artificial intelligence, Machine translation, Manual translation

CITE THIS PAPER

Wang LingZhi. Research on the Application of Artificial Intelligence in Machine Translation. Journal of Artificial Intelligence Practice (2021) Vol. 4: 1-3. DOI: http://dx.doi.org/10.23977/jaip.2020.040201

REFERENCES

[1] John E. Ortega,Richard Castro Mamani,Kyunghyun Cho(2021). Neural machine translation with a polysynthetic low resource language[J]. Machine Translation,(prepublish).
[2] Grechishnikova Daria(2021). Transformer neural network for protein-specific de novo drug generation as a machine translation problem[J]. Scientific Reports,no.11 pp:1.
[3] Zhang Xiaheng,Shu Kunliang,Rajkumar S.,Sivakumar V(2021).. Research on deep integration of application of artificial intelligence in environmental monitoring system and real economy[J]. Environmental Impact Assessment Review, pp:86.
[4] P. Karuppusamy,Isidoros Perikos,Fuqian Shi,Tu N. Nguyen(2021). Sustainable Communication Networks and Application[M].Springer, Singapore:no.01 pp:01.

Downloads: 1212
Visits: 65264

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.