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

Application of Artificial Intelligence (AI) Technology in Chinese English Translation System Corpus

Download as PDF

DOI: 10.23977/jaip.2022.050302 | Downloads: 54 | Views: 938

Author(s)

Jing Long 1

Affiliation(s)

1 Chengdu University, Chengdu, Sichuan, China

Corresponding Author

Jing Long

ABSTRACT

With the rapid development of the Internet, the state is vigorously supporting the Internet high-tech industry. The Chinese-English translation industry of AI belongs to the branch of Internet high-tech industry, which is in line with the development direction of national scientific research industrialization. Therefore, the Chinese-English translation corpus has become a popular direction of AI. The key content of Chinese-English translation lies in the construction of corpus. At present, most of the response corpora on the market apply to daily response, which lacks professionalism in a certain field. In view of the common shortcomings that the corpus construction on the market can not achieve the expected effect and the content lacks professionalism in a certain field, this paper proposes a hybrid intelligent Chinese-English translation corpus construction method. This hybrid intelligent corpus is different from the general daily question and answer corpus. This paper mainly discusses the construction method of corpus in Chinese-English translation system based on AI technology. The corpus of this translation system comes from manual collection. Considering the accuracy of response and the complexity of training, this paper writes the professional corpus into the situational response corpus based on AIML.

KEYWORDS

AI Technology, Chinese English Translation, Translation System, Corpus

CITE THIS PAPER

Jing Long, Application of Artificial Intelligence (AI) Technology in Chinese English Translation System Corpus. Journal of Artificial Intelligence Practice (2022) Vol. 5: 8-13. DOI: http://dx.doi.org/10.23977/jaip.2022.050302.

REFERENCES

[1] Dubey P. The Hindi to Dogri machine translation system: grammatical perspective [J]. International Journal of Information Technology, 2019, 11(1):171-182.
[2] Chen W L., Lin Y B., Ng F L., et al. RiceTalk: Rice Blast Detection Using Internet of Things and AI Technologies[J]. IEEE Internet of Things Journal, 2020, 7(2):1001-1010.
[3] Majumdar B., Sarode S C., Sarode G S., et al. Technology: AI [J]. British dental journal, 2018, 224(12):916-916.
[4] Leushacke M., Tan S H., Wong A., et al. Lgr5-expressing chief cells drive epithelial regeneration and cancer in the oxyntic stomach [J]. Nature Cell Biology, 2017, 19(7):774-786.
[5] Horii H. Advancement of Vehicle Occupant Restraint System Design by Integration of AI Technologies [J]. International Journal of Transport Development and Integration, 2021, 5(3):242-253.
[6] Anan T., Higuchi H., Hamada N. New AI technology improving fuel efficiency and reducing CO2 emissions of ships through use of operational big data [J]. Fujitsu entific & Technical Journal, 2017, 53(6):23-28.
[7] Raknys A V., Gudelis D., Guogis A. The Analysis of Opportunities of the Application of Big Data and AI Technologies in Public Governance and Social Policy [J]. Socialinė Teorija Empirija Politika ir Praktika, 2021, 22(6):88-100.
[8] Cui L. A Preliminary Study on the Management Strategy of University Personnel Files based on AI Technology [J]. Journal of Electronic Research and Application, 2021, 5(2):1-4.
[9] Xu K., Wang Z., Zhou Z., et al. Design of industrial internet of things system based on machine learning and AI technology [J]. Journal of Intelligent and Fuzzy Systems, 2021, 40(2):2601-2611.
[10] Jho, Gook-Hyung, Yoon, et al. French Tagsets for Developing Common Transfer Knowledge, that constitutes a Multilingual Automatic Translation System [J]. Cogito, 2017(82):337-375.
[11] Rui Z., Mao K. Topic-Aware Deep Compositional Models for Sentence Classification [J]. IEEE/ACM Transactions on Audio Speech & Language Processing, 2017, 25(2):248-260.

Downloads: 5947
Visits: 179787

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.