Recognition of English Vocabulary and Speech Corpus Based on Computer Image Processing

Abstract

In order to solve the problem that the function and performance of traditional systems in English machine translation cannot meet the needs of intelligence, the author proposes an English vocabulary and speech corpus recognition system based on computer image processing. On the basis of designing the overall structure of the system, the hardware structure is designed by designing the server and translator. In the software design, the semantic features of the input English sentences in human-computer interaction are analyzed by using the enhanced algorithm, the decoding algorithm is designed according to the analysis results, and the English machine translation model is constructed. Experimental results show that when the number of sentences translated by this system is from 100 to 1000, the BLEU indicator keeps rising from 7 to 10. The English vocabulary and speech corpus recognition system based on computer image processing is more efficient.