Word stemming methods for the Malay language: a review

• Main Authors: Kassim, Mohamad Nizam, Maarof, Mohd. Aizaini, Zainal, Anazida, Abdul Wahab, Amirudin
• Format: Article
• Published: American Scientific Publishers 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/80108/; http://dx.doi.org/10.1166/asl.2017.7446

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.