Term selection for searching printed Arabic
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Empirical studies in strategies for Arabic retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic methods for searching ocr-degraded arabic text
Probabilistic methods for searching ocr-degraded arabic text
Using N-grams for Arabic text searching
Journal of the American Society for Information Science and Technology
A morphologically sensitive clustering algorithm for identifying Arabic roots
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A bio-inspired approach for multi-word expression extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Addressing morphological variation in alphabetic languages
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Managing misspelled queries in IR applications
Information Processing and Management: an International Journal
Improving Arabic information retrieval system using N-gram method
WSEAS Transactions on Computers
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This work assesses the performance of two N-gram matching techniques for Arabic root-driven string searching: contiguous N-grams and hybrid N-grams, combining contiguous and non-contiguous. The two techniques were tested using three experiments involving different levels of textual word stemming, a textual corpus containing about 25 thousand words (with a total size of about 160KB), and a set of 100 query textual words. The results of the hybrid approach showed significant performance improvement over the conventional contiguous approach, especially in the cases where stemming was used. The present results and the inconsistent findings of previous studies raise some questions regarding the efficiency of pure conventional N-gram matching and the ways in which it should be used in languages other than English.