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ARTICLE
Design of Intelligent English Translation Algorithms Based on a Fuzzy Semantic Network
Ping Wang1 HongGuo Cai2,*, LuKun Wang3
1 School of Foreign Languages, Jiujiang University, 332005, China
2 Department of Mathematics and Computer Science, Guangxi College of Education, Nanning, 530023, China
3 College of Intelligent Equipment, Shandong University of Science and Technology, Tai'an, 271019, China
* Corresponding Author: HongGuo Cai,
Intelligent Automation & Soft Computing 2020, 26(3), 519-529. https://doi.org/10.32604/iasc.2020.013929
Abstract
In order to improve the quality of intelligent English translation, an intelligent
English translation algorithm based on the fuzzy semantic network is designed.
By calculating the distance of fuzzy semantic network, classifying and ordering
the English semantics to determine the optimal similarity and outputting the
optimal translation results, the experiments show the average BLEU and NIST
of the three test sets are 25.85 and 5.8925 respectively. The translation
accuracy is higher than 95%. The algorithm can translate 246 Chinese
sentences per second. This shows it is a high-performance intelligent translation
algorithm and can be applied to practical intelligent translation software.
Keywords
Cite This Article
APA Style
Cai, P.W.H., Wang, L. (2020). Design of intelligent english translation algorithms based on a fuzzy semantic network. Intelligent Automation & Soft Computing, 26(3), 519-529. https://doi.org/10.32604/iasc.2020.013929
Vancouver Style
Cai PWH, Wang L. Design of intelligent english translation algorithms based on a fuzzy semantic network. Intell Automat Soft Comput . 2020;26(3):519-529 https://doi.org/10.32604/iasc.2020.013929
IEEE Style
P.W.H. Cai and L. Wang, "Design of Intelligent English Translation Algorithms Based on a Fuzzy Semantic Network," Intell. Automat. Soft Comput. , vol. 26, no. 3, pp. 519-529. 2020. https://doi.org/10.32604/iasc.2020.013929
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