Abstract
Arabic is a highly inflected language, and therefore the processes of stemming and root extracting represent a challenge to researches. A new method is presented for extracting Arabic text stem, and lemma. Stemming sometimes affects the semantic of a word, where as lemma preserve the meaning of a word. The approach is based on pattern extraction. It uses a special encoding based on dividing letters into original and non-original letters. Codes are automatically generated for each pattern and then match against input text to extract root, pattern, and lemma of a word. A comparison with other methods reveals a promising result with accuracy up to 96%.
| Original language | English |
|---|---|
| Title of host publication | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 |
| Pages | 642-645 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 - Kuala Lumpur, Malaysia Duration: May 10 2010 → May 13 2010 |
Other
| Other | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 5/10/10 → 5/13/10 |
Keywords
- Morphological analyzer
- Natural language processing
- Root extraction
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Signal Processing
Fingerprint Dive into the research topics of 'Arabic verb pattern extraction'. Together they form a unique fingerprint.
Cite this
Saad, E. M., Awadalla, M. H., & Alajmi, A. (2010). Arabic verb pattern extraction. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 (pp. 642-645). [5605427] https://doi.org/10.1109/ISSPA.2010.5605427