Parse tree visualization for Malay sentence (BMTutor)

In Malaysia, various efforts have been made by the government and language researchers in improving student’s ability of mastering Malay language (BM) due to their poor ability in grammar and sentence structure. In terms of technology, to date, there is no computer software or a prototype that is av...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhamad Noor, Yusnita, Jamaludin, Zulikha
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
Online Access:http://repo.uum.edu.my/14189/1/jeas_0215_1588.pdf
http://repo.uum.edu.my/14189/
http://www.arpnjournals.com/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uum.repo.14189
record_format eprints
spelling my.uum.repo.141892016-04-27T07:19:13Z http://repo.uum.edu.my/14189/ Parse tree visualization for Malay sentence (BMTutor) Muhamad Noor, Yusnita Jamaludin, Zulikha QA76 Computer software In Malaysia, various efforts have been made by the government and language researchers in improving student’s ability of mastering Malay language (BM) due to their poor ability in grammar and sentence structure. In terms of technology, to date, there is no computer software or a prototype that is available that can help students in learning the BM sentence structure.Thus, BMTutor is introduced as a solution to this problem. BMTutor is a prototype for visualizing Malay sentence combined with sentence checker, sentence correction and word attribute components.BMTutor is intended to facilitate the learning process of sentence construction and grammatical structure in BM. It is also to enhance the learning process in BM that can be used by communities, especially students. An algorithm in designing BMTutor is discussed in this paper.The algorithm of the software is done sequentially as followed: 1) tokenizing 2) checking the number of words, 3) searching and comparing process to check the spelling or conjunctions, 4) assigning each word with a certain word class, 5) matching with rules, and 6) delivering/producing output (sentence correction or parse tree visualization, word attribute components, and parse tree from sentence examples).Based on the testing conducted, output from the development process shows that the prototype can correct all 15 invalid sentences and can produce parse tree visualization for all 20 sentences. Asian Research Publishing Network (ARPN) 2015-02 Article PeerReviewed application/pdf en http://repo.uum.edu.my/14189/1/jeas_0215_1588.pdf Muhamad Noor, Yusnita and Jamaludin, Zulikha (2015) Parse tree visualization for Malay sentence (BMTutor). ARPN Journal of Engineering and Applied Sciences, 10 (3). pp. 1253-1259. ISSN 1819-6608 http://www.arpnjournals.com/
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Muhamad Noor, Yusnita
Jamaludin, Zulikha
Parse tree visualization for Malay sentence (BMTutor)
description In Malaysia, various efforts have been made by the government and language researchers in improving student’s ability of mastering Malay language (BM) due to their poor ability in grammar and sentence structure. In terms of technology, to date, there is no computer software or a prototype that is available that can help students in learning the BM sentence structure.Thus, BMTutor is introduced as a solution to this problem. BMTutor is a prototype for visualizing Malay sentence combined with sentence checker, sentence correction and word attribute components.BMTutor is intended to facilitate the learning process of sentence construction and grammatical structure in BM. It is also to enhance the learning process in BM that can be used by communities, especially students. An algorithm in designing BMTutor is discussed in this paper.The algorithm of the software is done sequentially as followed: 1) tokenizing 2) checking the number of words, 3) searching and comparing process to check the spelling or conjunctions, 4) assigning each word with a certain word class, 5) matching with rules, and 6) delivering/producing output (sentence correction or parse tree visualization, word attribute components, and parse tree from sentence examples).Based on the testing conducted, output from the development process shows that the prototype can correct all 15 invalid sentences and can produce parse tree visualization for all 20 sentences.
format Article
author Muhamad Noor, Yusnita
Jamaludin, Zulikha
author_facet Muhamad Noor, Yusnita
Jamaludin, Zulikha
author_sort Muhamad Noor, Yusnita
title Parse tree visualization for Malay sentence (BMTutor)
title_short Parse tree visualization for Malay sentence (BMTutor)
title_full Parse tree visualization for Malay sentence (BMTutor)
title_fullStr Parse tree visualization for Malay sentence (BMTutor)
title_full_unstemmed Parse tree visualization for Malay sentence (BMTutor)
title_sort parse tree visualization for malay sentence (bmtutor)
publisher Asian Research Publishing Network (ARPN)
publishDate 2015
url http://repo.uum.edu.my/14189/1/jeas_0215_1588.pdf
http://repo.uum.edu.my/14189/
http://www.arpnjournals.com/
_version_ 1644281385093955584
score 13.160551