Ping Wang1 HongGuo Cai2,*, LuKun Wang3
Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 519-529, 2020, DOI: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. More >
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