Accuracy Analysis of English Special Sentence Pattern Transformation with Machine Translation Software

In order to improve the ability of English special sentence pattern conversion in machine translation software, an English special sentence pattern conversion method based on semantic feature analysis is proposed. The semantic feature analysis model of feature vocabulary translation is constructed, the semantic correlation feature analysis method is used to detect the features in the process of English special sentence pattern transformation in machine translation software, the semantic decomposition model of English special sentence pattern transformation in machine translation software is established, and the online feature quantity of characteristic vocabulary translation is extracted. The fusion clustering analysis method is used to control the adaptive optimization in the process of English special sentence pattern conversion of machine translation software, and the machine learning algorithm is used to judge the fuzzy control and convergence in the process of English special sentence pattern conversion of machine translation software, and the optimization of English special sentence pattern conversion process of machine translation software is realized. The simulation results show that the control of English special sentence pattern conversion by machine translation software is stable and the translation results are accurate and reliable.