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Word Stemming Methods for the Malay Language: A Review
- Source :
- Advanced Science Letters. 23:695-698
- Publication Year :
- 2017
- Publisher :
- American Scientific Publishers, 2017.
-
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.
- Subjects :
- Root (linguistics)
Health (social science)
General Computer Science
Computer science
General Mathematics
Speech recognition
02 engineering and technology
computer.software_genre
Education
Component (UML)
0202 electrical engineering, electronic engineering, information engineering
Preprocessor
General Environmental Science
Malay
business.industry
General Engineering
020206 networking & telecommunications
language.human_language
Word lists by frequency
General Energy
language
020201 artificial intelligence & image processing
Stemming
Artificial intelligence
Applications of artificial intelligence
business
computer
Word (computer architecture)
Natural language processing
Subjects
Details
- ISSN :
- 19366612
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Advanced Science Letters
- Accession number :
- edsair.doi...........a8a66af4e8d31cddc7670f5c9a9d80b4
- Full Text :
- https://doi.org/10.1166/asl.2017.7446