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

中文翻译：

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基于决策树算法的多媒体英语辅助句柄分析与仿真

本文通过改进的决策树算法，对多媒体英语辅助中的句柄进行了解析和仿真。为了更好地感知英语作文中的语言感，提高智能评价的合理性，提出了一种基于联想分析的N元素。有义值量化通过获取组成的N元组来计算其在语料库中的支持度。如果支持程度低于阈值，则分析发生语言感觉问题的部分，并判断语言感觉问题的类型，以帮助学生修改构图。此外，本文还提取了构图中的单词特征，句子特征和文本结构特征，以适应英语句柄的分析得分。通过测试集