【摘 要】
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本文报告了对“把”字结构中的核心动词短语 (HVP)进行自动分析的实验。在对输入语料做了自动分词但未标注词性的条件下 ,试图标出每个介词“把”后边的HVP。分析方法是基于
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本文报告了对“把”字结构中的核心动词短语 (HVP)进行自动分析的实验。在对输入语料做了自动分词但未标注词性的条件下 ,试图标出每个介词“把”后边的HVP。分析方法是基于语言知识的 ,以我们对核心动词短语的分类为指导思想 ,以包含较丰富的语法信息的专用动词词表为支撑 ,同时也利用了从训练语料中获取的统计数据。实验结果是 ,开放测试的平均正确率达到 93 %。
This article reports on an automated analysis of core verb phrases (“HVP”) in the “” word structure. Under the circumstance of automatic word segmentation of input corpus but not part-of-speech, the HVP behind each preposition “to ” is tried to be marked. The method of analysis is based on linguistic knowledge, supported by our classification of core verb phrases as a lexicon of specialized verbs that contains a wealth of grammatical information, as well as statistical data obtained from training corpora. The result of the experiment is that the average correct rate of open test is 93%.
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