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Mining and Visualizing the Narration Tree of Hadiths (Prophetic Traditions)
Abstract
Hadiths are narrations originating from the words and deeds of Prophet Muhammad. Each hadith starts with a list of narrators involved in transmitting it. A hadith scholar judges a hadith based on the narration chain along with the individual narrators in the chain. In this chapter, we report on a method that automatically extracts the transmission chains from the hadith text and graphically displays it. Computationally, this is a challenging problem. Foremost each hadith has its own peculiar way of listing narrators; and the text of hadith is in Arabic, a language rich in morphology. Our proposed solution involves parsing and annotating the hadith text and recognizing 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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