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 "Sahih 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).