Stemmer Algorithm for Arabic Words Based on Excessive Letter Locations

Al-Shalabi, Riyad; Kanaan, Ghassan; Ghwanmeh, Sameh; Nour, F.M.

doi:10.1109/iit.2007.4430444

Cited by 11 publications

(8 citation statements)

References 4 publications

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“…Al‐Shalabi, Kanaan, Ghwanmeh, and Nour (2007) presented an Arabic stemmer based on excessive letter locations. The algorithm starts with removing suffixes and prefixes, and then excessive letters are removed depending on their positions.…”

Section: Related Workmentioning

confidence: 99%

A novel approach to the extraction of roots from Arabic words using bigrams

Hmeidi

Al-Shalabi

Al-Taani

et al. 2009

J. Am. Soc. Inf. Sci.

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Root extraction is one of the most important topics in information retrieval (IR), natural language processing (NLP), text summarization, and many other important fields. In the last two decades, several algorithms have been proposed to extract Arabic roots. Most of these algorithms dealt with triliteral roots only, and some with fixed length words only. In this study, a novel approach to the extraction of roots from Arabic words using bigrams is proposed. Two similarity measures are used, the dissimilarity measure called the "Manhattan distance," and Dice's measure of similarity. The proposed algorithm is tested on the Holy Qu'ran and on a corpus of 242 abstracts from the Proceedings of the Saudi Arabian National Computer Conferences. The two files used contain a wide range of data: the Holy Qu'ran contains most of the ancient Arabic words while the other file contains some modern Arabic words and some words borrowed from foreign languages in addition to the original Arabic words. The results of this study showed that combining N -grams with the Dice measure gives better results than using the Manhattan distance measure.

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Section: Related Workmentioning

confidence: 99%

A novel approach to the extraction of roots from Arabic words using bigrams

Hmeidi

Al-Shalabi

Al-Taani

et al. 2009

J. Am. Soc. Inf. Sci.

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“…The second class is formed of statistical methods which are simple, fast, and do not require any morphological rules but some calculations [14,15,16,17,18,19,20].…”

Section: Introductionmentioning

confidence: 99%

Arabic Texts Categorization: Features Selection Based on the Extraction of Words’ Roots

Gadri

Moussaoui

2015

IFIP Advances in Information and Communication Technology

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“…Kazem Taghva, Rania Elkhoury, Jeffrey Coombs [18] introduce an Arabic Stemming Without A Root Dictionary their experiment shows that stem lists are not required in an Arabic Stemmer. Riyad Al-Shalabi, et [26] build Arabic stemmer based on Excessive Letter Locations, The stemmer find the trilateral root, quadri-literal root as well as the pentaliteral root for Arabic words based on excessive letter locations. The algorithm locates.…”

Section: Related Workmentioning

confidence: 99%

“…Each letter of the special verb ‫"فؼو"‬ has a specific name and meaning applied in the formation of other forms of verbs and nouns, the first letter is called ‫"ف"‬ "fa", the second is ‫"ع"‬ "ain", and the third is ‫"ه"‬ "lam" [26]. Many stemmer techniques for Arabic language depend on root extraction [20,26]. One of the Arabic language characteristics the formats of the words in Arabic language are the union of templates for the meanings vary in function performed.…”

Section: Introductionmentioning

confidence: 99%

“…"اوزاُ'‬ Arab grammarians use the verb ‫"فؼو"‬ 'faal" as the model to represent the templates that can form other verbs and nouns from a specific root. Each letter of the special verb ‫"فؼو"‬ has a specific name and meaning applied in the formation of other forms of verbs and nouns, the first letter is called ‫"ف"‬ "fa", the second is ‫"ع"‬ "ain", and the third is ‫"ه"‬ "lam" [26]. Many stemmer techniques for Arabic language depend on root extraction [20,26].…”

Section: Introductionmentioning

confidence: 99%

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Arabic Stemmer for Search Engines Information Retrieval

Ahmed¹,

Hussain²,

Baig³

2016

ijacsa

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Abstract-Arabic language is very different and difficult structure than other languages, that's because it is a very rich language with complex morphology. Many stemmers have been developed for Arabic language but still there are many weakness and problems. There is still lack of usage of Arabic stemming in search engines. This paper introduces a rooted word Arabic stemmer technique. The results of the introduced technique for six Arabic sentences are used in famous search engines Google Chrome, Internet Explore and Mozilla Firefox to check the effect of using Arabic stemming in these search engines in terms of the total number of searched pages and the search time ratio for actual sentences and their stemming results. The results show that Arabic words stemming increase and accelerate the search engines output.

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Stemmer Algorithm for Arabic Words Based on Excessive Letter Locations

Cited by 11 publications

References 4 publications

A novel approach to the extraction of roots from Arabic words using bigrams

A novel approach to the extraction of roots from Arabic words using bigrams

Arabic Texts Categorization: Features Selection Based on the Extraction of Words’ Roots

Arabic Stemmer for Search Engines Information Retrieval

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