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    • 7. 发明申请
    • PROCESS FOR GENERATING DESCRIPTORS FOR CLASSIFYING TEXTS
    • 用于生产描述符分类稿源
    • WO1997004406A1
    • 1997-02-06
    • PCT/EP1996002620
    • 1996-06-18
    • DAIMLER BENZ AGRENZ, Ingrid
    • DAIMLER BENZ AG
    • G06F17/30
    • G06F17/2755G06F17/2785G06F17/30707
    • The process for generating descriptors for text classification proposes the breakdown of complex word forms by matching with all the word forms occurring within a training text. No basis in morphological or linguistic knowledge is required for the preferably cyclically continued breakdown, nor for the accompanying drawing up of stop word prefix and suffix lists. Simple morphological knowledge is provided by the specification of minimum requirements for the form of descriptors and text sections. The process can adapted to new applications very flexibly and easily. The process is, moreover, very fault-tolerant and hence especially suitable for the classification of digitised texts obtained by character recognition processes from written texts or by means of speech recognition processes from spoken texts.
    • 用于生成描述符文本的分类所提出的方法通过用总训练文本集合的单词形式中发生的比较提供的复杂的单词形式分解。 对于最好循环连续分解无形态或语言知识基础,以及要求中止词的前缀和后缀列表的附加声明。 简单形态的知识是通过指定的描述和文字部分的形式的最低要求而推出的。 这个过程是特别灵活,容易适应新的应用。 该方法也非常容错,因此特别适合于数字化文本的分类,其通过书面文本的字符识别方法或通过说出的文本的语音识别方法来获得。