@Article{iasc.2020.013929,
AUTHOR = {Ping Wang HongGuo Cai, LuKun Wang},
TITLE = {Design of Intelligent English Translation Algorithms Based on a Fuzzy Semantic Network},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {519--529},
URL = {http://www.techscience.com/iasc/v26n3/40011},
ISSN = {2326-005X},
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.},
DOI = {10.32604/iasc.2020.013929}
}