Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2577
Title: Text simplification for Malay corpus: A Review
Authors: Omar S. 
Bakar J. A. 
Mohd Nadzir M. 
Harun M. H. 
Yusoff, N. 
Keywords: computational linguistics;evaluation metrics;natural language processing
Issue Date: Jul-2021
Conference: Proceedings - International Conference on Computer and Information Sciences: Sustaining Tomorrow with Digital Innovation, ICCOINS 2021 
Abstract: 
Text Simplification (TS) is one of the directions for recent studies in NLP. The TS aims to rewrite the complicated text into a simpler sentence, which is easier to understand by human and machine. Several applications such as the development of the Simple Wikipedia corpus are derived from those studies. The studies involve a different technique in order to achieve the objective of TS in terms of structure and the meaning of human language. In this paper, we used narrative review as review methodology and highlighted the purpose of TS, TS-user, TS approaches and techniques, datasets, evaluation metrics as well as challenges in formalizing TS in Malay corpus. Promising results are expected for TS in Malay corpus.
Description: 
Scopus
URI: http://hdl.handle.net/123456789/2577
ISBN: 978-172817151-7
DOI: 10.1109/ICCOINS49721.2021.9497167
Appears in Collections:Faculty of Data Science and Computing - Proceedings

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