Application of Intelligent Fuzzy Decision Tree Algorithm in English Machine Translation

Simple word substitution from one natural language to another is one of the basic processes and methods used in machine translation. In machine translation, the main part is “translation process This process can be simply explained as decoding the meaning of the source text and then recoding it into the target language. In this paper, the intelligent FDT (Fuzzy Dicision Tree) is used to further study English machine translation. The research results show that higher accuracy can be obtained when the machine translation of Alexa ranking interval is used in this method. When the ranking of CFG rank is done by machine translation, higher accuracy can be obtained. FDT is used to solve some structural ambiguity problems in massive English language and improve the accuracy of English machine translation. The text semantic information features of English context are extracted by FDT, and the ontology mapping and adaptive accompanying tracking of semantic information are realized by combining intelligent analysis and semantic information retrieval technology, and English intelligent translation is realized by combining pattern recognition method.