A triliteral word roots extraction using neural network for Arabic

Hasan Al-Serhan; Aladdin Ayesh

doi:10.1109/ICCES.2006.320487

A triliteral word roots extraction using neural network for Arabic

Hasan Al-Serhan^*, Aladdin Ayesh

^*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

Many of existing Arabic stemming algorithms use a large set of rules. In many cases, they refer to a lookup table of patterns and roots. This requires a large storage space, and time to access the information. A novel neural network based approach for stemming Arabic words is proposed in this paper. This approach attempts to exploit numerical relations between characters by using Backpropagation Neural Network (BPNN). No such system in literature can be found that uses neural network to extract the stemming of Arabic words.

Original language	English
Title of host publication	2006 International Conference on Computer Engineering and Systems, ICCES'06
Pages	436-440
Number of pages	5
DOIs	https://doi.org/10.1109/ICCES.2006.320487
Publication status	Published - 2006
Event	2006 International Conference on Computer Engineering and Systems, ICCES'06 - Cairo, Egypt Duration: 5 Nov 2006 → 7 Nov 2006

Conference

Conference	2006 International Conference on Computer Engineering and Systems, ICCES'06
Country/Territory	Egypt
City	Cairo
Period	5/11/06 → 7/11/06

Keywords

Arabic language
Backpropagation
Natural language processing
Neural networks
Stemming

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10.1109/ICCES.2006.320487

Cite this

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title = "A triliteral word roots extraction using neural network for Arabic",

abstract = "Many of existing Arabic stemming algorithms use a large set of rules. In many cases, they refer to a lookup table of patterns and roots. This requires a large storage space, and time to access the information. A novel neural network based approach for stemming Arabic words is proposed in this paper. This approach attempts to exploit numerical relations between characters by using Backpropagation Neural Network (BPNN). No such system in literature can be found that uses neural network to extract the stemming of Arabic words.",

keywords = "Arabic language, Backpropagation, Natural language processing, Neural networks, Stemming",

author = "Hasan Al-Serhan and Aladdin Ayesh",

year = "2006",

doi = "10.1109/ICCES.2006.320487",

language = "English",

isbn = "1424402719",

pages = "436--440",

booktitle = "2006 International Conference on Computer Engineering and Systems, ICCES'06",

note = "2006 International Conference on Computer Engineering and Systems, ICCES'06 ; Conference date: 05-11-2006 Through 07-11-2006",

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AU - Al-Serhan, Hasan

AU - Ayesh, Aladdin

PY - 2006

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N2 - Many of existing Arabic stemming algorithms use a large set of rules. In many cases, they refer to a lookup table of patterns and roots. This requires a large storage space, and time to access the information. A novel neural network based approach for stemming Arabic words is proposed in this paper. This approach attempts to exploit numerical relations between characters by using Backpropagation Neural Network (BPNN). No such system in literature can be found that uses neural network to extract the stemming of Arabic words.

AB - Many of existing Arabic stemming algorithms use a large set of rules. In many cases, they refer to a lookup table of patterns and roots. This requires a large storage space, and time to access the information. A novel neural network based approach for stemming Arabic words is proposed in this paper. This approach attempts to exploit numerical relations between characters by using Backpropagation Neural Network (BPNN). No such system in literature can be found that uses neural network to extract the stemming of Arabic words.

KW - Arabic language

KW - Backpropagation

KW - Natural language processing

KW - Neural networks

KW - Stemming

UR - http://www.scopus.com/inward/record.url?scp=46249108172&partnerID=8YFLogxK

U2 - 10.1109/ICCES.2006.320487

DO - 10.1109/ICCES.2006.320487

M3 - Published conference contribution

AN - SCOPUS:46249108172

SN - 1424402719

SN - 9781424402717

SP - 436

EP - 440

BT - 2006 International Conference on Computer Engineering and Systems, ICCES'06

T2 - 2006 International Conference on Computer Engineering and Systems, ICCES'06

Y2 - 5 November 2006 through 7 November 2006

ER -

A triliteral word roots extraction using neural network for Arabic

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Keywords

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