The translation and introduction of Mo Yan's works based on neurolinguistics

As an advanced function of the cognitive neural mechanism of human brain, inductive reasoning is an important skill in language communication. Under the background of the development of information intelligence, it is a new research field to effectively display the cognitive neural function of inductive reasoning with the advantage of the logic operation of artificial intelligence algorithm. Therefore, in this paper, based on the neurolinguistics, the translation and introduction of Mo Yan's works were studied. And on the basis of the analysis of the characteristics of the cognitive neural mechanism of sentence inductive reasoning, by using fMR and ERP techniques, the narrowing characteristics of the semantic integrated components in the induction were investigated, and the dual processing model of inductive reasoning was discussed. After that, artificial intelligence particle swarm optimization (PSO) algorithm was introduced, and the problem of alignment in the translation of English and Chinese sentences in Mo Yan's works was transformed into the problem of finding the optimal solution for the corresponding fitness function in Chinese and English sentences in bilingual space. Thus, a scientific mathematical model was used to improve the accuracy of translation. The simulation experiments show that this study can effectively improve the accuracy of the translation and introduction of Mo Yan's works.