Enhanced text stemmer for standard and non-standard word patterns in Malay texts
Text stemming is a useful language preprocessing tool in the field of information retrieval, text classification and natural language processing. A text stemmer is a computer program that removes affixes, clitics and particles to obtain the root words from the derived words. Over the past few years,...
Saved in:
Main Author: | Kassim, Mohamad Nizam |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/98431/1/MohamadNizamKassimPSC2020.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of different automatic text summarization systems using standard performance evaluations
by: Abd Munir, Nur Hafizah
Published: (2009) -
Part of speech tagger for non-standardized Malay text in social media / Nur Syamimi Ardenan
by: Ardenan, Nur Syamimi
Published: (2022) -
A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
by: Alias, Suraya
Published: (2018) -
Bootstrapping Kelantan and Sarawak Malay dialect models on text and phonetic analyses in text-to-speech system
by: Khaw, Jasmina Yen Min
Published: (2017) -
Taxonomy learning from Malay texts using artificial immune system based clustering
by: Ahmad Nazri, Mohd. Zakree
Published: (2011)