Intelligent Location Algorithm of Sensitive Words in English Translation Text Based on Association Rules

Abstract

Because the existence of sensitive words will affect its text transmission, an intelligent location algorithm of sensitive words in English translation text based on association rules is designed. Mining sensitive words in English translation text based on association rule algorithm. In mining, Apriori algorithm is improved, an FT tree association rule algorithm is designed, and sensitive word data mining is implemented. A sensitive word detection model for English translation text is designed and implemented to detect sensitive words in the text. The model consists of four parts: user interface sub model, information preparation sub model, detection engine sub model and audit strategy sub model. The intelligent location of sensitive words in English translation text is realized through Yolo series algorithms. Build a test environment to test the positioning performance of the design method. The test results show that when there is attention mechanism in the model convolution neural network, the location of this method is more accurate and achieves the initial design goal.