Resumen de Query Translation Optimization and Mathematical Modeling for English- Chinese Cross-Language Information Retrieval
Xiao-Qiang Zhao, Wanhe Song, Min Li, Jianming Zhang
The basic theory of the neural network model used in this research is particle swarm optimization, applied toEnglish-Chinese translation retrieval and model optimization. The decoded form obtains the translation tasksequence. This topic uses TensorFlow to complete the construction of the translation system. This researchsolves the typical lack of semantic information in the hierarchical model. The demonstration of examples shows that the neural network model based on particle swarm optimization can significantly improve the quality of machine translation
