Your search for: 'author:("Wang, Yungang")' has returned 1 result. (0.005s) Save search

Authors: Wang, Yungang

Article Type: Research Article

Abstract: In daily life, English is increasingly used in various scenarios, and the technology of translation using machines and others is gradually maturing, but there are still cases of inaccurate translation. To enhance translation’s accuracy, this study optimizes the method of fuzzy semantic selection, and then optimizes the method of domain analysis combined with neural networks to improve the accuracy of machine translation in different domains. The accuracy of the optimized neural network tends to be stable when the number of iterations is 15, the accuracy is 0.96, the accuracy of the traditional neural network is 0.91, and RNN is 0.82. …Compared with the benchmark system, the bilingual mapping model has increased by 0.67% in the news field and 0.56% in the education field. The precision, recall and F value of machine translation are 93%, 86% and 0.8 respectively. The comprehensive experimental results show that the selection method based on fuzzy semantics, combined with the domain analysis method of network neural, can remarkably enhance the accuracy. Show more

Keywords: Machine translation, fuzzy semantics, neural network, multisemantics, domain analysis, bilingual mapping

DOI: 10.3233/JCM-226635

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 675-687, 2023