Examining the effect of improved context sensitive morphology on Arabic information retrieval

Authors:
Kareem Darwish;Hany Hassan;Ossama Emam
Affiliations:
German University in Cairo, New Cairo, Cairo, Egypt and IBM Technology Development Center, Giza, Egypt;IBM Technology Development Center, Giza, Egypt;IBM Technology Development Center, Giza, Egypt
Venue:
Semitic '05 Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages
Year:
2005

Citing 8
Cited 5

Word sense disambiguation and information retrieval

SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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
Term selection for searching printed Arabic

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
Language model based arabic word segmentation

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Building a shallow Arabic Morphological Analyzer in one day

SEMITIC '02 Proceedings of the ACL-02 workshop on Computational approaches to semitic languages

Arabic OCR error correction using character segment correction, language modeling, and shallow morphology

EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Arabic texts analysis for topic modeling evaluation

Information Retrieval
Effect of ISRI stemming on similarity measure for arabic document clustering

AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Arabic retrieval revisited: morphological hole filling

ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Language processing for arabic microblog retrieval

Proceedings of the 21st ACM international conference on Information and knowledge management

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper explores the effect of improved morphological analysis, particularly context sensitive morphology, on monolingual Arabic Information Retrieval (IR). It also compares the effect of context sensitive morphology to non-context sensitive morphology. The results show that better coverage and improved correctness have a dramatic effect on IR effectiveness and that context sensitive morphology further improves retrieval effectiveness, but the improvement is not statistically significant. Furthermore, the improvement obtained by the use of context sensitive morphology over the use of light stemming was not significantly significant.