Learning morpho-lexical probabilities from an untagged corpus with an application to Hebrew
Computational Linguistics
Arabic Named Entity Recognition from Diverse Text Types
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Semitic '05 Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages
Person name entity recognition for Arabic
Semitic '07 Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources
RENAR: A Rule-Based Arabic Named Entity Recognition System
ACM Transactions on Asian Language Information Processing (TALIP)
Arabic entity graph extraction using morphology, finite state machines, and graph transformations
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Integrating rule-based system with classification for arabic named entity recognition
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Named entity recognition for Arabic using syntactic grammars
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
A hybrid approach to Arabic named entity recognition
Journal of Information Science
Crime profiling for the Arabic language using computational linguistic techniques
Information Processing and Management: an International Journal
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We describe a fast, high-performance name recognizer for Arabic texts. It combines a pattern-matching engine and supporting data with a morphological analysis component. The role of the morphological analysis in accurate name recognition is discussed. We also provide evaluations of both morphological analysis and name recognition.