Automatic Detection of Grammatical Errors in English Verbs Based on RNN Algorithm: Auxiliary Objectives for Neural Error Detection Models.

It can be seen from the observation of Figure 7 that when the number of hidden layer neurons in RNN increases from 30 to 110, the value of K shows a decreasing trend, and the evaluation effect is getting better and better, which reflects that the performance of English model based on RNN algorithm for automatic detection of grammatical errors of English verb forms is gradually improved.

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