English writing retrieval system based on machine learning algorithm
Nian Wu, X. Hou · IET conference proceedings. · 2022
When non-native English speakers write in English, they often encounter situations where they do not know how to say a sentence or how to express a meaning. The current machine translation system is difficult to be practically applied because the accuracy rate is too low and the translation results cannot meet the requirements. Because the online dictionary system can only search by keywords, it is not helpful for the search of the whole sentence. This paper designs an English writing retrieval system to help people write smoothly. The system designed in this paper takes the WEB server as the frame, and establishes the system structure of the retrieval processing module, the query matching module and other functional modules that connect the corpus ontology database. The application experiments of the two machine learning algorithms proposed in this paper, neural network and decision tree, in the retrieval system show that the retrieval effect of the neural network algorithm is better than that of the decision tree algorithm.