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An application of Malay short-form word conversion using levenshtein distance

Formerly, short-form word was widely used in the field of journalism. However, nowadays, short-form word has been widely used by many people, especially in online communication. These short-form words trigger problems in the field of data mining, especially those involving online text processing...

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Main Authors: Rohana, Ismail, Azilawati, Azizan, NurAine, Saidin
Format: Article
Language:English
English
Published: 2020
Subjects:
P Philology. Linguistics
QA Mathematics
Online Access:http://eprints.unisza.edu.my/7277/1/FH02-FIK-20-43364.pdf
http://eprints.unisza.edu.my/7277/2/FH02-FIK-21-50265.pdf
http://eprints.unisza.edu.my/7277/
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spelling my-unisza-ir.72772022-05-24T04:35:34Z http://eprints.unisza.edu.my/7277/ An application of Malay short-form word conversion using levenshtein distance Rohana, Ismail Azilawati, Azizan NurAine, Saidin P Philology. Linguistics QA Mathematics Formerly, short-form word was widely used in the field of journalism. However, nowadays, short-form word has been widely used by many people, especially in online communication. These short-form words trigger problems in the field of data mining, especially those involving online text processing. It leads to inaccurate result of text mining activities. On the other hand, only few works have investigated on Malay short-form word identification and conversion. Therefore, this work aims to develop an application that can identify and convert Malay short-form words into its’ full word. In order to develop this application, the short-form rules need to be carefully examined. The formal rules from Dewan Bahasa & Pustaka (DBP) are used as the primary reference for generating the short form word identification algorithm. While for the conversion algorithm, Levenshtein Distance (LD) is used to measure the similarity. The rule-based technique is also used as a complement to LD technique. As a result, 70.27% of the Malay short-form words have been correctly converted into their full words. The conversion rate is quite promising, and this work can be further strengthened by incorporating more rules into the algorithm. 2020-12 Article PeerReviewed text en http://eprints.unisza.edu.my/7277/1/FH02-FIK-20-43364.pdf text en http://eprints.unisza.edu.my/7277/2/FH02-FIK-21-50265.pdf Rohana, Ismail and Azilawati, Azizan and NurAine, Saidin (2020) An application of Malay short-form word conversion using levenshtein distance. Mathematical Sciences and Informatics Journal, 1 (1). pp. 34-42. ISSN 2735-0703
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
topic P Philology. Linguistics
QA Mathematics
spellingShingle P Philology. Linguistics
QA Mathematics
Rohana, Ismail
Azilawati, Azizan
NurAine, Saidin
An application of Malay short-form word conversion using levenshtein distance
description Formerly, short-form word was widely used in the field of journalism. However, nowadays, short-form word has been widely used by many people, especially in online communication. These short-form words trigger problems in the field of data mining, especially those involving online text processing. It leads to inaccurate result of text mining activities. On the other hand, only few works have investigated on Malay short-form word identification and conversion. Therefore, this work aims to develop an application that can identify and convert Malay short-form words into its’ full word. In order to develop this application, the short-form rules need to be carefully examined. The formal rules from Dewan Bahasa & Pustaka (DBP) are used as the primary reference for generating the short form word identification algorithm. While for the conversion algorithm, Levenshtein Distance (LD) is used to measure the similarity. The rule-based technique is also used as a complement to LD technique. As a result, 70.27% of the Malay short-form words have been correctly converted into their full words. The conversion rate is quite promising, and this work can be further strengthened by incorporating more rules into the algorithm.
format Article
author Rohana, Ismail
Azilawati, Azizan
NurAine, Saidin
author_facet Rohana, Ismail
Azilawati, Azizan
NurAine, Saidin
author_sort Rohana, Ismail
title An application of Malay short-form word conversion using levenshtein distance
title_short An application of Malay short-form word conversion using levenshtein distance
title_full An application of Malay short-form word conversion using levenshtein distance
title_fullStr An application of Malay short-form word conversion using levenshtein distance
title_full_unstemmed An application of Malay short-form word conversion using levenshtein distance
title_sort application of malay short-form word conversion using levenshtein distance
publishDate 2020
url http://eprints.unisza.edu.my/7277/1/FH02-FIK-20-43364.pdf
http://eprints.unisza.edu.my/7277/2/FH02-FIK-21-50265.pdf
http://eprints.unisza.edu.my/7277/
_version_ 1734304597271379968
score 13.211869

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