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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Main Author:	Ghazalli, Edatul Muliana
Format:	Thesis
Language:	English
Published:	2005
Online Access:	https://ir.uitm.edu.my/id/eprint/1429/1/TB_EDATUL%20MULIANA%20GHAZALLI%20CS%2005_5%20P01.pdf
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id	my-uitm-ir.1429
record_format	uketd_dc
spelling	my-uitm-ir.14292019-04-05T07:12:54Z Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli 2005 Ghazalli, Edatul Muliana 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 https://ir.uitm.edu.my/id/eprint/1429/ https://ir.uitm.edu.my/id/eprint/1429/1/TB_EDATUL%20MULIANA%20GHAZALLI%20CS%2005_5%20P01.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
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
qualification_level	Bachelor degree
author	Ghazalli, Edatul Muliana
spellingShingle	Ghazalli, Edatul Muliana Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
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
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2005
url	https://ir.uitm.edu.my/id/eprint/1429/1/TB_EDATUL%20MULIANA%20GHAZALLI%20CS%2005_5%20P01.pdf
_version_	1783733013510619136

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

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