Hadith is the sayings and actions of Prophet Mohammad (Peace Be upon Him), it is the second legalization source in Islam after the Holy Quran. Hadith consists of two parts: Isnad and Matn, Isnad is the sequence chain of narrators who narrate Hadith while Matn is the words or actions of the prophet. In this paper, we introduce a novel approach that recognizes the “Parts of Isnad” based on Hidden Markov Model (HMM), this approach contains three phases: preparation, training and testing. Our approach classifies the words and phrases of Isnad to its main categories such as: narrator name, prefix of narrator name, received method, prefix of received method, title, replacement and prophet name.
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