Research on Automatic Chunk Extraction Translation System Based on Artificial Neural Network

Artificial neural network refers to a network system that simulates the structure and function of the human brain nervous system, uses a large number of processing components, and is constructed by artificial means. Learning ability, adaptability, and variability of connection strength can be applied to automatic chunk extraction translation system. This paper selects the translation system of automatic chunk extraction, adopts quantitative research method, and then focuses on the method of chunk extraction, and summarizes and summarizes the extraction steps and tools of continuous and discontinuous chunks from the presence or absence of a given head word. comment.Investigate their overall performance and different performances in different conversion directions. The research results show that the recognition effect of block boundaries can be further improved by continuously optimizing the model parameters. By comparing different models, the recognition effect of functional block boundaries can be better, and the F value can reach 86.76%. Therefore, the application of artificial neural network in automatic chunk translation system has a very broad prospect, and it has been widely used in automatic control system. The validity of artificial neural network and the positive role of automatic chunk extraction translation function in improving translation results are verified.