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 |
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Keywords
- Morphological analyzer
- Natural language processing
- Root extraction
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Signal Processing
Cite this
Arabic verb pattern extraction. / Saad, E. M.; Awadalla, M. H.; Alajmi, A.
10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 642-645 5605427.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Arabic verb pattern extraction
AU - Saad, E. M.
AU - Awadalla, M. H.
AU - Alajmi, A.
PY - 2010
Y1 - 2010
N2 - 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%.
AB - 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%.
KW - Morphological analyzer
KW - Natural language processing
KW - Root extraction
UR - http://www.scopus.com/inward/record.url?scp=78650299233&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650299233&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2010.5605427
DO - 10.1109/ISSPA.2010.5605427
M3 - Conference contribution
SN - 9781424471676
SP - 642
EP - 645
BT - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
ER -