Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
ACM SIGIR Forum
An evaluation method for stemming algorithms
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
Method for evaluation of stemming algorithms based on error counting
Journal of the American Society for Information Science
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
On arabic search: improving the retrieval effectiveness via a light stemming approach
Proceedings of the eleventh international conference on Information and knowledge management
Text-Retrieval: Theory and Practice
Proceedings of the IFIP 12th World Computer Congress on Algorithms, Software, Architecture - Information Processing '92, Volume 1 - Volume I
On arabic search: the effectiveness of monolingual and bidirectional information retrieval
On arabic search: the effectiveness of monolingual and bidirectional information retrieval
A novel Arabic lemmatization algorithm
Proceedings of the second workshop on Analytics for noisy unstructured text data
Towards the measurement of Arabic Weblogs credibility automatically
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
A comparison study of some Arabic root finding algorithms
Journal of the American Society for Information Science and Technology
An accuracy-enhanced light stemmer for arabic text
ACM Transactions on Speech and Language Processing (TSLP)
An application of pattern matching stemmer in arabic dialogue system
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Effect of ISRI stemming on similarity measure for arabic document clustering
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
An improved stemming approach using HMM for a highly inflectional language
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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Stemming is a computational process for reducing words to their roots (or stems). It can be classified as a recall-enhancing or precision-enhancing component. Existing Arabic stemmers suffer from high stemming error-rates. Arabic stemmers blindly stem all the words and perform poorly especially with compound words, nouns and foreign Arabized words. The Educated Text Stemmer (ETS) is presented in this paper. ETS is a dictionary free, simple, and highly effective Arabic stemming algorithm that can reduce stemming errors in addition to decreasing computational time and data storage. The novelty of the work arises from the use of neglected Arabic stop-words. These stop-words can be highly important and can provide a significant improvement to processing Arabic documents. The ETS stemmer is evaluated by comparison with output from human generated stemming and the stemming weight technique.