Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli

Stemming is important thing to improve retrieval effectiveness. Stemming is used to reduce the size of indexing file for relevancy of document retrieval. Stemming is technique to truncate the word into the root word that will reduce vocabulary size and improve recall. The Malay affixes consist of...

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Bibliographic Details
Main Author:	Ghazalli, Edatul Muliana
Format:	Thesis
Language:	English
Published:	2005
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/1429/ http://ir.uitm.edu.my/id/eprint/1429/1/TB_EDATUL%20MULIANA%20GHAZALLI%20CS%2005_5%20P01.pdf

id	uitm-1429
recordtype	eprints
spelling	uitm-14292019-04-05T07:12:54Z http://ir.uitm.edu.my/id/eprint/1429/ Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli Ghazalli, Edatul Muliana QA75 Electronic computers. Computer science Stemming is important thing to improve retrieval effectiveness. Stemming is used to reduce the size of indexing file for relevancy of document retrieval. Stemming is technique to truncate the word into the root word that will reduce vocabulary size and improve recall. The Malay affixes consist of four different types such as prefix, prefix-suffix, suffix and infix. An effective and powerfiil of Malay stemmer is it just not to move the suffixes rules only but it must remove all four types of affixes. Without removing all the affixes, the stem caimot be effectively used to index of Malay documents. So in order to get the best order of morphological rule for effective and powerfiil stemmer the researcher has to find out the best order of morphological rule to stem Malay words based on first character for each alphabet. This project involves the use of two combinations simultaneously. The words that could not stem correctly by the first combination of best order which is primary will shift to alternative combination of best order of morphological rule. The resuhs of experiment B, which is enhance project is better than experiment A, which is Rules-Application-Order (RAO) by Fatimah (1995) because that algorithm has successfully stemmed all word begin with alphabet "A" until "Z" that extracted fi-om Quran documents. 2005 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1429/1/TB_EDATUL%20MULIANA%20GHAZALLI%20CS%2005_5%20P01.pdf Ghazalli, Edatul Muliana (2005) Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Ghazalli, Edatul Muliana Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
description	Stemming is important thing to improve retrieval effectiveness. Stemming is used to reduce the size of indexing file for relevancy of document retrieval. Stemming is technique to truncate the word into the root word that will reduce vocabulary size and improve recall. The Malay affixes consist of four different types such as prefix, prefix-suffix, suffix and infix. An effective and powerfiil of Malay stemmer is it just not to move the suffixes rules only but it must remove all four types of affixes. Without removing all the affixes, the stem caimot be effectively used to index of Malay documents. So in order to get the best order of morphological rule for effective and powerfiil stemmer the researcher has to find out the best order of morphological rule to stem Malay words based on first character for each alphabet. This project involves the use of two combinations simultaneously. The words that could not stem correctly by the first combination of best order which is primary will shift to alternative combination of best order of morphological rule. The resuhs of experiment B, which is enhance project is better than experiment A, which is Rules-Application-Order (RAO) by Fatimah (1995) because that algorithm has successfully stemmed all word begin with alphabet "A" until "Z" that extracted fi-om Quran documents.
format	Thesis
author	Ghazalli, Edatul Muliana
author_facet	Ghazalli, Edatul Muliana
author_sort	Ghazalli, Edatul Muliana
title	Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
title_short	Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
title_full	Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
title_fullStr	Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
title_full_unstemmed	Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
title_sort	enhancement of rules-application-order (rao) stemming algorithm based on the first character of malay word / edatul muliana ghazalli
publishDate	2005
url	http://ir.uitm.edu.my/id/eprint/1429/ http://ir.uitm.edu.my/id/eprint/1429/1/TB_EDATUL%20MULIANA%20GHAZALLI%20CS%2005_5%20P01.pdf
first_indexed	2023-09-18T22:45:48Z
last_indexed	2023-09-18T22:45:48Z
_version_	1777417216529006592

Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli

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