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  1. WindowsApplication1

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  2. 处理的对象是:完成分词和词性标注的语料,实现的结果是:统计出现词频完成降序排列。-Dealing with the object are: the completion of word segmentation and POS tagging of the corpus, the results achieved are: the completion of word frequency statistics appear in descending order.
  3. 所属分类:MultiLanguage

    • 发布日期:2017-03-29
    • 文件大小:35.86kb
    • 提供者:陈烨彬
  1. POStag

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  2. 词性标注。首先根据预料库训练模型,然后用得到的模型对未标记词性的语句进行词性标注。-Part of Speech Tagging. First, according to the training model is expected to libraries, and then get the model right part of speech of the statement is not marked for POS Tagging.
  3. 所属分类:MultiLanguage

    • 发布日期:2017-05-26
    • 文件大小:8.47mb
    • 提供者:秦佳佳
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