Abstract
In this paper, we report our work on a Finite State Transducer-based entity extractor, which applies named-entity extraction techniques to identify useful entities from prophetic narrations texts. A Finite State Transducer has been implemented in order to capture different types of named entities. For development and testing purposes, we collected a set of prophetic narrations texts from “Sahîh Al-Bukhari” corpus. Preliminary evaluation results demonstrated that our approach is feasible. Our system achieved encouraging precision and recall rates, the overall precision and recall are 71% and 39% respectively. Our future work includes conducting larger-scale evaluation studies and enhancing the system to capture named entities from chains of transmitters (Salasil Al-Assanid) and biographical texts of narrators (Tarajims).
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Harrag, F., El-Qawasmeh, E., Salman Al-Salman, A.M. (2011). Extracting Named Entities from Prophetic Narration Texts (Hadith). In: Zain, J.M., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22191-0_26
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DOI: https://doi.org/10.1007/978-3-642-22191-0_26
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