Intelligent Recognition English Translation Model Based on ID3 Algorithm

Today's science and technology are developing faster and faster, and the number of scientific and technical documents is also increasing. Although manual translation can express the original text well, with the increasing number of documents, the speed of manual translation seems to be stretched. Machine translation is an important means to solve this problem. Therefore, this paper studies translation models to improve translation speed and hope to achieve accurate translation. In this paper, an intelligent recognition English translation system is designed for English translation. The system needs to obtain English corpus through data clarity, data processing, etc., and through the ID3 algorithm of decision tree and decision tree tool to process English vocabulary, a pure corpus can be obtained, and It can restore and mark the parts of speech in English sentences to achieve more accurate translation results. After optimizing the data of the English translation model constructed in this paper, the model can store more data and save system disk space.