Comparing words, stems, and roots as index terms in an Arabic Information Retrieval System
Journal of the American Society for Information Science
Design and implementation of automatic indexing for information retrieval with Arabic documents
Journal of the American Society for Information Science
Stemming methodologies over individual query words for an Arabic information retrieval system
Journal of the American Society for Information Science
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Arabic finite-state morphological analysis and generation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Term selection for searching printed Arabic
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Computational Linguistics - Special issue on web as corpus
Arabic morphological analysis techniques: a comprehensive survey
Journal of the American Society for Information Science and Technology
Dictionary-based techniques for cross-language information retrieval
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Language model based arabic word segmentation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
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
MAGEAD: a morphological analyzer and generator for the Arabic dialects
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Context-based morphological disambiguation with random fields
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Identifying semitic roots: Machine learning with linguistic constraints
Computational Linguistics
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Examining the effect of improved context sensitive morphology on Arabic information retrieval
Semitic '05 Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages
Semitic '05 Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages
Arabic to French sentence alignment: exploration of a cross-language information retrieval approach
Semitic '07 Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources
A novel approach to the extraction of roots from Arabic words using bigrams
Journal of the American Society for Information Science and Technology
A comparison study of some Arabic root finding algorithms
Journal of the American Society for Information Science and Technology
A hybrid morphologically decomposed factored language models for Arabic LVCSR
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
An accuracy-enhanced light stemmer for arabic text
ACM Transactions on Speech and Language Processing (TSLP)
Feature sub-set selection metrics for Arabic text classification
Pattern Recognition Letters
Extracting and formalising terms and relations to build ontology
International Journal of Metadata, Semantics and Ontologies
Morphar+: an Arabic morphosyntactic analyzer
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Arabic retrieval revisited: morphological hole filling
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Part of speech tagging for arabic
Natural Language Engineering
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The paper presents a rapid method of developing a shallow Arabic morphological analyzer. The analyzer will only be concerned with generating the possible roots of any given Arabic word. The analyzer is based on automatically derived rules and statistics. For evaluation, the analyzer is compared to a commercially available Arabic Morphological Analyzer.