Research on Information System for Teaching Quality Evaluation Model of Business English Translation Based on SVM

Abstract:

The teaching quality evaluation of business English translation is a key basis to discover the teaching problems of business English translation and to promote the teaching quality. Compared with the traditional teaching quality evaluation method, support vector machine which is a type of information applied technology has many unique advantages, such as high accuracy, easily operation and fast implementation. This paper studies the current teaching quality on the basis of business English translation, and establishes the teaching quality evaluation model of business English translation based on SVM, and the experimental results show the superiority and validity of this method in the teaching quality assessment of business English translation.

• Periodical: Advanced Materials Research (Volume 886)
• Pages: 552-555
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.886.552
• Online since: January 2014
• Authors: Chun Hua Mao
• Keywords: Business English Translation, Information Applied Technology, Support Vector Machine (SVM), Teaching Quality Evaluation

References

[1] Godoe, H. Innovation regimes, R&D and radical innovations in telecommunications, Research Policy, vol. 29(2000), pp.1033-1046.

DOI: 10.1016/s0048-7333(99)00051-7

[2] Abernathy, W. and Utterback,J. Patterns of Innovation in Technology, Technology Review, vol. 80(1978), pp.40-47.

[3] Yang Zhi Ming, Liu Guang Li. Uncertainty Principle and Application of support vector machines[M] . Beijing: Science Press, 2007. pp.55-81.

[4] Chen Hang Yu, Chen Su Hong. Construction of Teaching Quality Evaluation System conceived, Economic and Social Development, vol. 3(2005), pp.154-156.

[5] Fu Yong Gang, Shen Rui Ming. Based on Support Vector Machine Learning System, Computer Engineering, vol. 30 (2004) , pp.15-17.

[6] Chang Ming Qi, Liu Jun Ping, Ma Wei. Water resources safety assessment based on support vector machine, Natural Disasters, vol. 6(2011), pp.167-171.