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59847

Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic

Article

Last updated: 24 Dec 2024

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Abstract

In this paper, we present a comprehensive evaluation of four Arabic stemmers, based on metrics for correctness, strength and similarity. Two data sets were used in this study. For correctness evaluation, we used a list of 8697 Arabic words grouped into 1606 conceptual classes. For similarity and strength evaluation, we used a list of 72,000 unique Arabic words. Conclusions about correctness, strength and similarity of the four Arabic stemming algorithms are reported.

DOI

10.21608/ejle.2014.59847

Authors

First Name

Daoud

Last Name

Daoud

MiddleName

-

Affiliation

Princess Somaya University for Technology

Email

d.daoud@psut.edu.jo

City

Amman, Jordan

Orcid

-

First Name

Christian

Last Name

Boitet

MiddleName

-

Affiliation

GETALP, LIG, Université Joseph Fourier, France

Email

christian.boitet@imag.fr

City

France

Orcid

-

Volume

1

Article Issue

1

Related Issue

8935

Issue Date

2014-01-01

Receive Date

2013-10-07

Publish Date

2014-01-01

Page Start

17

Page End

23

Print ISSN

2356-8208

Online ISSN

2356-8216

Article File

EJLE_Volume 1_Issue 1_Pages 17-23.pdf

PDF . 308.3kB

Link

https://ejle.journals.ekb.eg/article_59847.html

Detail API

https://ejle.journals.ekb.eg/service?article_code=59847

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2

Type

Original Article

Type Code

1,039

Publication Type

Journal

Publication Title

The Egyptian Journal of Language Engineering

Publication Link

https://ejle.journals.ekb.eg/

MainTitle

Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic

Details

Type

Article

Created At

22 Jan 2023