Word stemming methods for the Malay language: a review

Abstract View references (29) Word stemmer is a preprocessing component that has been widely used in many artificial intelligence applications for reducing derived words to their respective root words. There are many existing Malay word stemmers that have been developed to stem affixation words by...

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Main Authors: Kassim, Mohamad Nizam, Maarof, Mohd. Aizaini, Zainal, Anazida, Abdul Wahab, Amirudin
Format: Article
Published: American Scientific Publishers 2017
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Online Access:http://eprints.utm.my/id/eprint/80108/
http://dx.doi.org/10.1166/asl.2017.7446
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spelling my.utm.801082019-03-05T01:51:29Z http://eprints.utm.my/id/eprint/80108/ Word stemming methods for the Malay language: a review Kassim, Mohamad Nizam Maarof, Mohd. Aizaini Zainal, Anazida Abdul Wahab, Amirudin QA75 Electronic computers. Computer science Abstract View references (29) Word stemmer is a preprocessing component that has been widely used in many artificial intelligence applications for reducing derived words to their respective root words. There are many existing Malay word stemmers that have been developed to stem affixation words by using various word stemming methods. Therefore, this paper describes the research trends of the existing Malay word stemmers based on morphological structures of Malay language, general word stemming methods and adopted word stemming methods used in the existing word stemmers. Hence, this paper serves as a preliminary reference for improving the existing Malay word stemmers. American Scientific Publishers 2017 Article PeerReviewed Kassim, Mohamad Nizam and Maarof, Mohd. Aizaini and Zainal, Anazida and Abdul Wahab, Amirudin (2017) Word stemming methods for the Malay language: a review. Advanced Science Letters, 23 (2). pp. 695-698. ISSN 1936-6612 http://dx.doi.org/10.1166/asl.2017.7446 DOI:10.1166/asl.2017.7446
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Kassim, Mohamad Nizam
Maarof, Mohd. Aizaini
Zainal, Anazida
Abdul Wahab, Amirudin
Word stemming methods for the Malay language: a review
description Abstract View references (29) Word stemmer is a preprocessing component that has been widely used in many artificial intelligence applications for reducing derived words to their respective root words. There are many existing Malay word stemmers that have been developed to stem affixation words by using various word stemming methods. Therefore, this paper describes the research trends of the existing Malay word stemmers based on morphological structures of Malay language, general word stemming methods and adopted word stemming methods used in the existing word stemmers. Hence, this paper serves as a preliminary reference for improving the existing Malay word stemmers.
format Article
author Kassim, Mohamad Nizam
Maarof, Mohd. Aizaini
Zainal, Anazida
Abdul Wahab, Amirudin
author_facet Kassim, Mohamad Nizam
Maarof, Mohd. Aizaini
Zainal, Anazida
Abdul Wahab, Amirudin
author_sort Kassim, Mohamad Nizam
title Word stemming methods for the Malay language: a review
title_short Word stemming methods for the Malay language: a review
title_full Word stemming methods for the Malay language: a review
title_fullStr Word stemming methods for the Malay language: a review
title_full_unstemmed Word stemming methods for the Malay language: a review
title_sort word stemming methods for the malay language: a review
publisher American Scientific Publishers
publishDate 2017
url http://eprints.utm.my/id/eprint/80108/
http://dx.doi.org/10.1166/asl.2017.7446
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score 13.211869