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Automatic Recognition of Tune Names of Song Ci-Poetry

机译:宋词声调名称的自动识别

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By introducing computer technology into the research of Song Ci-Poetry, we propose an automatic identification model for tune names of Song Ci-poetry in this paper. Firstly, the texts in Complete Collection of Song Ci Poetry involving 73 tune names of Ci are selected as experimental samples. The number of Chinese characters, the number of sentences, the number of clauses with different character number, information of Level and Oblique Tones and author information are made up into the feature system of Ci-Poetry. And then they are represented in vectors with Vector Space Model (VSM). Based on Support Vector Machine, Naive Bayes and Random Forest algorithms, three classifiers are used to recognize tune names of Ci. The model performs very well in recognition experiments, which provides a reference for the reorganization and retrieval work of Song Ci-Poetry.
机译:通过将计算机技术引入宋词研究中,提出了宋词曲名的自动识别模型。首先,选取《宋词全集》中涉及73个词首的词作为实验样本。汉字数,句子数,不同字符数的从句数,水平和斜度信息以及作者信息组成词词特征系统。然后用向量空间模型(VSM)在向量中表示它们。基于支持向量机,朴素贝叶斯算法和随机森林算法,使用三个分类器来识别Ci的曲调名称。该模型在识别实验中表现良好,为宋词的整理和检索工作提供了参考。

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