Author(s)

Pei Pei ¹

Affiliation(s)

¹ Changchun University of Finance and Economics, Changchun, Jilin, China

Corresponding Author

Pei Pei

ABSTRACT

With the continuous development of computer technology and electronic technology, CC technology is widely used in all aspects of life, especially in English translation, which greatly improves the efficiency and accuracy of English translation. Cloud translation platform is a collaborative translation platform based on cloud platform. The platform not only integrates advanced computing technology and language processing technology, but also can realize collaborative translation, that is, multiple spatially dispersed translators are organized to complete a translation task together, so as to improve the efficiency of the whole translation industry. Based on the English translation of CC technology, this paper discusses the dynamic sharing module of CC in cloud platform translation and the English translation design of CC technology. According to the cloud execution translation algorithm, this paper compares the running time and actual running time of different running paths of CC English translation, and measures and compares the translation speed and accuracy of CC English translation, traditional translation and artificial English translation. The test results show that both the time optimal path and the energy optimal path are path four, that is, text positioning and recognition are processed in the cloud. Through the calculation sharing of CC, under the condition of consuming a certain amount of traffic as the cost, the running time and energy consumption of the two steps of text positioning and text recognition in the real-time translation program are reduced by 89% compared with the local operation; In the same running environment, the program can correctly and independently select path 4 as the path with the best time and energy consumption for actual operation. The translation accuracy of CC English translation proposed in this paper is the highest, reaching 97%, followed by traditional translation, and the translation speed is also the fastest. It fully proves the practicability of English translation based on CC.

KEYWORDS

Cloud Computing Technology, English Translation, Translation Analysis, Cloud Translation Platform

CITE THIS PAPER

Pei Pei, Analysis of English Translation Based on Cloud Computing (CC) Technology - Cloud Translation Platform. Adult and Higher Education (2022) Vol. 4: 18-24. DOI: http://dx.doi.org/10.23977/aduhe.2022.041003.

REFERENCES

[1] Javed A., Larijani H., Ahmadinia A., et al. Smart Random Neural Network Controller for HVAC Using CC Technology[J]. IEEE Transactions on Industrial Informatics, 2017, 13(1):351-360.
[2] K Lis. On the Earliest English Translation of the Laws of Oléron and Its Editions[J]. Studia Anglica Posnaniensia, 2020, 55(1):79-118.
[3] Khan S., Shiraz M., Boroumand L., et al. Towards Port-Knocking Authentication Methods for Mobile CC[J]. Journal of Network and Computer Applications, 2017, 97(nov.):66-78.
[4] Zuolo L., Zambelli C., Micheloni R., et al. Solid-State Drives: Memory Driven Design Methodologies for Optimal Performance[J]. Proceedings of the IEEE, 2017, 105(9):1589-1608.
[5] Sethi O A., Jt B., Ma C., et al. Advances in motion and electromyography based wearable technology for upper extremity function rehabilitation: A review[J]. Journal of Hand Therapy, 2020, 33( 2):180-187.
[6] Nieuwenhuis L., Ehrenhard M L., Prause L. The shift to CC: The impact of disruptive technology on the enterprise software business ecosystem[J]. Technological Forecasting & Social Change, 2018, 129(APR.):308-313.
[7] Vithayathil J. Will CC make the Information Technology (IT) department obsolete?[J]. Information Systems Journal, 2018, 28(4):634-649.
[8] Attiya I., Zhang X. CC Technology: Promises and Concerns[J]. International Journal of Computer Applications, 2017, 159(9):32-37.
[9] Zavodnova M V. The English translation specificity of the poem "Lilichka!" by Vladimir Mayakovsky[J]. Youth Science Forum Journal, 2020, 1(2):123-129.
[10] Sagun L., Asuncion J E., Rafols H. file and storage management system towards cc technology[J]. Theoretical & Applied Science, 2021, 98(6):101-110.
[11] Sokoloff D D., Nuraliev M S., AA Oskolski, et al. Gynoecium Evolution in Angiosperms: Monomery, Pseudomonomery, and Mixomery (English translation)[J]. Moscow University Biological Sciences Bulletin, 2017, 72(3):97-108.
[12] Kksal O. Investigation of cultural competence development processes of English translation and interpretation department students[J]. Dil ve Dilbilimi Çalışmaları Dergisi, 2020, 16(2):1070-1083.

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