In this paper, through the improved decision tree algorithm, the handles in multimedia English assistance are parsed and\nsimulated. In order to better perceive the sense of language in English composition and improve the rationality of intelligent\nevaluation, an N element based on association analysis is proposed. Sense value quantification calculates its support in the corpus\nby obtaining N-tuples of the composition. If the degree of support is lower than the threshold, the part where the language sense\nproblem occurs is analyzed, and the type of language sense problem is judged for the students to provide assistance in modifying\nthe composition. In addition, this paper also extracts word features, sentence features, and text structure features in the\ncomposition to fit the English handles analytical score. By testing the test set, the experiment shows that, by extracting the language\nsense features of the candidateâ??s English composition, it can not only judge whether there is a problem with the language sense of\nthe candidate, but also provide a basis for the overall evaluation of the composition.
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