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59143

A Language Model for Arabic Texts Disambiguation using Deep Learning

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Last updated: 24 Dec 2024

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Abstract

Careful learning and understanding of Arabic content are extremely important because of its continuous growing. There are many types of text learning. It includes summarization, translation, and classification. The choice of the Arabic language in this research came from the lack of modern research such as deep learning. Although deep learning of Arabic is not a goal in this research, the main goal was to remove ambiguity in the Arabic language, since Arabic has more words than meaning, according to diacritics and the grammar of the text. The research idea is based on deep text learning, text analysis and removing of the ambiguity. In this paper, we proposed a new method for Arabic text learning by using deep learning methods. we use in this method the learning word vectors as weights by using 2000000-word vectors. The language model and the word analysis were also used to analyze the text and to detect the ambiguous words. Additionally, the learning results from the deep learning were compared with other researches of text from an accuracy perspective.
 

DOI

10.21608/ejle.2019.59143

Keywords

Disambiguation, Deep learning, Convolution Neural Network, Long-Short Term Memory, natural language processing, Word Embeddings, Clustering, classification, and Language Model

Authors

First Name

Nehad

Last Name

Abdel Rahman

MiddleName

M.

Affiliation

Computer science and Information Technology College at Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia

Email

nmaigm@gmail.com

City

Dammam, Saudi Arabia

Orcid

-

First Name

Sayed

Last Name

Nouh

MiddleName

A.

Affiliation

Computers and Systems Engineering Department at Al-Azhar University, Cairo, Egypt

Email

sayed.nouh07@gmail.com

City

Cairo, Egypt

Orcid

-

First Name

Reda

Last Name

Abo Al-ez

MiddleName

H.

Affiliation

Computers and Systems Engineering Department at Al-Azhar University, Cairo, Egypt

Email

reda.haboalez@gmail.com

City

Cairo, Egypt

Orcid

-

Volume

6

Article Issue

2

Related Issue

8993

Issue Date

2019-09-01

Receive Date

2019-05-12

Publish Date

2019-09-01

Page Start

1

Page End

16

Print ISSN

2356-8208

Online ISSN

2356-8216

Article File

EJLE_Volume 6_Issue 2_Pages 1-16.pdf

PDF . 773.2kB

Link

https://ejle.journals.ekb.eg/article_59143.html

Detail API

https://ejle.journals.ekb.eg/service?article_code=59143

Order

1

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

A Language Model for Arabic Texts Disambiguation using Deep Learning

Details

Type

Article

Created At

22 Jan 2023