iTree -自动构建圣训(先知传统)的叙述树

Aqil M. Azmi, Nawaf Bin Badia
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引用次数: 30

摘要

伊斯兰立法的两个基本来源是古兰经和圣训。圣训,或先知的传统,是源自先知穆罕默德的言论和行为的叙述。每一段圣训的开头都列出了参与传播的叙述者,然后是传播的文本。圣训文集极其庞大,多达数百卷。由于其立法的重要性,圣训学者仔细审查。学者给圣训评分的一种方法是通过它的叙述链和链中的个别叙述者。本文介绍了一种能够自动生成圣训传播链并图形化显示的系统。在计算上,这是一个具有挑战性的问题。圣训的文本是阿拉伯语,一种形态丰富的语言;每个圣训都有自己独特的叙述方式。我们的解决方案包括解析和注释圣训文本,并识别叙述者的名字。我们使用浅层解析和特定于领域的语法来解析圣训内容。对样本圣训的实验表明,我们的方法有很好的成功率。
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iTree - Automating the construction of the narration tree of Hadiths (Prophetic Traditions)
The two fundamental sources of Islamic legislation are Qur'an and the Hadith. The Hadiths, or Prophetic Traditions, are narrations originating from the sayings and conducts of Prophet Muhammad. Each Hadith starts with a list of narrators involved in transmitting it followed by the transmitted text. The Hadith corpus is extremely huge and runs into hundreds of volumes. Due to its legislative importance, Hadiths have been carefully scrutinized by hadith scholars. One way a scholar may grade a Hadith is by its narration chain and the individual narrators in the chain. In this paper we report on a system that automatically generates the transmission chains of a Hadith and graphically display it. Computationally, this is a challenging problem. The text of Hadith is in Arabic, a morphologically rich language; and each Hadith has its own peculiar way of listing narrators. Our solution involves parsing and annotating the Hadith text and identifying the narrators' names. We use shallow parsing along with a domain specific grammar to parse the Hadith content. Experiments on sample Hadiths show our approach to have a very good success rate.
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