inding similarities of word matching in translated arabic and english documents using GHSOM algorithm

inding similarities of word matching in translated arabic and english documents using GHSOM algorithm

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Bibliographic Details
Main Author: Ismail, Hanadi Hassen
Format: Thesis
Published: 2007
Subjects:
QA75 Electronic computers
Computer science
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id my-utm-ep.2495
record_format uketd_dc
spelling my-utm-ep.24952013-11-13T04:15:39Z inding similarities of word matching in translated arabic and english documents using GHSOM algorithm 2007 Ismail, Hanadi Hassen QA75 Electronic computers. Computer science 2007 Thesis http://eprints.utm.my/id/eprint/2495/ masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Ismail, Hanadi Hassen
inding similarities of word matching in translated arabic and english documents using GHSOM algorithm
description
format Thesis
qualification_level Master's degree
author Ismail, Hanadi Hassen
author_facet Ismail, Hanadi Hassen
author_sort Ismail, Hanadi Hassen
title inding similarities of word matching in translated arabic and english documents using GHSOM algorithm
title_short inding similarities of word matching in translated arabic and english documents using GHSOM algorithm
title_full inding similarities of word matching in translated arabic and english documents using GHSOM algorithm
title_fullStr inding similarities of word matching in translated arabic and english documents using GHSOM algorithm
title_full_unstemmed inding similarities of word matching in translated arabic and english documents using GHSOM algorithm
title_sort inding similarities of word matching in translated arabic and english documents using ghsom algorithm
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2007
_version_ 1747814422663921664

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