Abstract
English writing is conducive to the online communication and communication of language; the current diagnosis system of English writing is difficult to accurately find and diagnose the wrong words, which leads to a low diagnosis rate of wrong words in English writing system. To solve this problem, this paper designs an intelligent diagnosis system for English writing based on data feature extraction and fusion. First of all, B/S architecture is introduced on the basis of the conventional intelligent diagnosis system structure of English writing, which makes up for the problem that the C/S mode is prone to diagnostic errors. Secondly, the features of English lexical data are extracted and fused to provide better input for the diagnostic model, which effectively solves the problems of complex vocabulary and feature redundancy in English writing. The simulation results show that the proposed intelligent diagnosis system for English writing has higher diagnostic accuracy and faster query speed.
Highlights
With the globalization of economy and trade, the communication between people is becoming more and more close and frequent. erefore, the establishment of English writing system is very necessary to help improve the speed of information exchange and promote the smooth degree of communication
With the increase of music data, the efficiency of vocabulary diagnosis in English writing system is low, the error rate is high, and it is easy to fall into local minimum problem [2]. erefore, the existing framework of English writing system is optimized, and the method of data feature extraction and fusion of English writing intelligent diagnosis system is proposed, which accelerates the speed of the system, improving the recognition effect of words and the accuracy of diagnosis. is kind of new intelligent diagnosis system for English writing first needs to extract the features of English words, which can describe the important information contained in the words [3] and effectively identify whether the words are correct or not
In order to improve the diagnosis effect of English vocabulary, an intelligent diagnosis system for English writing based on feature extraction and data fusion is proposed. e simulation results are compared with the existing English vocabulary diagnosis models, which show that the proposed intelligent diagnosis system for English writing has obvious advantages in running speed and high diagnosis accuracy
Summary
With the globalization of economy and trade, the communication between people is becoming more and more close and frequent. erefore, the establishment of English writing system is very necessary to help improve the speed of information exchange and promote the smooth degree of communication. Erefore, the existing framework of English writing system is optimized, and the method of data feature extraction and fusion of English writing intelligent diagnosis system is proposed, which accelerates the speed of the system, improving the recognition effect of words and the accuracy of diagnosis. Is kind of new intelligent diagnosis system for English writing first needs to extract the features of English words, which can describe the important information contained in the words [3] and effectively identify whether the words are correct or not. In order to improve the diagnosis effect of English vocabulary, an intelligent diagnosis system for English writing based on feature extraction and data fusion is proposed. E simulation results are compared with the existing English vocabulary diagnosis models, which show that the proposed intelligent diagnosis system for English writing has obvious advantages in running speed and high diagnosis accuracy With the increase of music data, the efficiency of vocabulary diagnosis in English writing system is low, the error rate is high, and it is easy to fall into local minimum problem [2]. erefore, the existing framework of English writing system is optimized, and the method of data feature extraction and fusion of English writing intelligent diagnosis system is proposed, which accelerates the speed of the system, improving the recognition effect of words and the accuracy of diagnosis. is kind of new intelligent diagnosis system for English writing first needs to extract the features of English words, which can describe the important information contained in the words [3] and effectively identify whether the words are correct or not.
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