Artificial Intelligence Technology in Intelligent Recognition System of Translatology Based on Genetic Algorithm

The technology of intelligent recognition in translation has become a very important research field in information science. It is gradually becoming the main technology part of human-computer interaction in computer information technology. In order to solve the shortcomings of the existing intelligent recognition system for translation studies, this paper briefly discusses the translation speech sample corpus and ICTCLAS interface of intelligent recognition system on the basis of the discussion of genetic algorithm, artificial intelligence technology and intelligent recognition for translation studies. The ICTCLAS algorithm and genetic algorithm are also studied for the intelligent recognition system of translation. Finally, through the specific experimental analysis. The results show that the accuracy, callback rate and FI value of the ICTCLAS algorithm and the genetic algorithm are as high as 0.915, 0.926 and 0.902, respectively. Therefore, it is proved that the natural language processing technology in the intelligent recognition system of translation based on genetic algorithm is of high practical value.