Algorithms for finding patterns in strings
Handbook of theoretical computer science (vol. A)
Drawing graphs: methods and models
Drawing graphs: methods and models
Information Retrieval
Spoken Language System Assessment
Spoken Language System Assessment
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Arabic morphological analysis techniques: a comprehensive survey
Journal of the American Society for Information Science and Technology
Analysis of mixed natural and symbolic language input in mathematical dialogs
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Arabic tokenization, part-of-speech tagging and morphological disambiguation in one fell swoop
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Graph Theory
Annual Review of Information Science and Technology
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A model for the unsupervised segmentation and linguistic analysis of Arabic texts of Prophetic tradition (ḥadīṯ s), SALAH, is proposed. The model automatically segments each text unit in a transmitter chain (isnād ) and a text content (matn ) and further analyses each segment according to two distinct pipelines: a set of regular expressions chunks transmitter chains in a graph labeled with the relation between transmitters, while a tailored, augmented version of the AraMorph morphological analyzer (RAM) analyzes and annotates lexically and morphologically the text content. A graph with relations among transmitters and a lemmatized text corpus, both in XML format, are the final output of the system, which can further feed the automatic generation of concordances of the texts with variable-sized windows. The model results can be useful for a variety of purposes, including retrieving information from ḥadīṯ texts, verify the relations between transmitters, finding variant readings, supplying lexical information to specialized dictionaries.