Arabic verb pattern extraction

E. M. Saad; M. H. Awadalla; A. Alajmi

doi:10.1109/ISSPA.2010.5605427

Arabic verb pattern extraction

E. M. Saad, M. H. Awadalla, A. Alajmi

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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	https://doi.org/10.1109/ISSPA.2010.5605427
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

Access to Document

10.1109/ISSPA.2010.5605427

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Cite this

Saad, EM, Awadalla, MH & Alajmi, A 2010, Arabic verb pattern extraction. in 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010., 5605427, pp. 642-645, 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010, Kuala Lumpur, Malaysia, 5/10/10. https://doi.org/10.1109/ISSPA.2010.5605427

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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%.",

keywords = "Morphological analyzer, Natural language processing, Root extraction",

author = "Saad, {E. M.} and Awadalla, {M. H.} and A. Alajmi",

year = "2010",

doi = "10.1109/ISSPA.2010.5605427",

language = "English",

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note = "10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 ; Conference date: 10-05-2010 Through 13-05-2010",

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AU - Saad, E. M.

AU - Awadalla, M. H.

AU - Alajmi, A.

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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%.

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KW - Natural language processing

KW - Root extraction

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BT - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010

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