Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu

Previous works that produce syntactic tree output has disregarded additional relevant components such as sentence checking, sentence correction, the syntax tree visualization and the words attributes of each sentence. As such, this study aims at producing an algorithm for syntactic tree output enhan...

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Main Author:	Yusnita, Muhamad Noor
Format:	Thesis
Language:	eng eng eng
Published:	2018
Subjects:	PL Languages and literatures of Eastern Asia Africa Oceania QA299.6-433 Analysis
Online Access:	https://etd.uum.edu.my/6890/1/DepositPermission_s92715.pdf https://etd.uum.edu.my/6890/2/s92715_01.pdf https://etd.uum.edu.my/6890/3/s92715_02.pdf
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id	my-uum-etd.6890
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Jamaludin, Zulikha Jusoh, Shaidah
topic	PL Languages and literatures of Eastern Asia Africa Oceania QA299.6-433 Analysis
spellingShingle	PL Languages and literatures of Eastern Asia Africa Oceania QA299.6-433 Analysis Yusnita, Muhamad Noor Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
description	Previous works that produce syntactic tree output has disregarded additional relevant components such as sentence checking, sentence correction, the syntax tree visualization and the words attributes of each sentence. As such, this study aims at producing an algorithm for syntactic tree output enhancement from which the relevant output component mentioned above can be produced. The additional components namely sentence checking, sentence correction, syntax tree visualization (VPS) and word attribute are modelled into a package prior to translating them into a tangible output. In term of rules, previous studies have used phrase-structure rules (RSF) in analysing the Malay sentence. But RSF has been found to be a non-universal formula. Our work has brought us to the introduction of X-bar rules for BM VPS, which consequently becomes one of the contributions of this study. To achieve these objectives (the algorithm, the model and the X-bar rules), five phases of research methods involved namely identifying the research gap, the sentence and rules categorization, model and algorithm design phase, prototype development evaluation and conclusion phase. Parseval assessment method, which is an output evaluation method in natural language processing, was used for the evaluation. Point of analysis were the recall and precision valuation metrics. For VPS output, the average results obtained were 100% for recall and 97.8% for precision. For sentence correction, the results given were 100% for recall and 87.8% for precision. These results proved that the algorithm and model, for syntactic tree output enhancement, are generalisable enough to be tested on other languages. User evaluation on the prototype was also performed yielding in the average subjective satisfaction of 87.9% and a mean score of 6.157, based on semantic differential scales of 1 to 7. Cognitive assessment was also recorded, obtaining average cognitive score of 84.6% with a mean score of 4.230, on the scale 5. Analysis on those results indicated positive scores on the model-based product specifically on usefulness, ease of use, ease of learning, subjective satisfaction, and cognitive measures. It can be concluded that the algorithm and model proposed were useful for the development of the prototype. The prototype is therefore beneficial as an educational assistance to understand Malay sentences when provided with enhanced output on sentence checking, sentence correction, syntax tree visualization (VPS) and words attribute
format	Thesis
qualification_name	Ph.D.
qualification_level	Doctorate
author	Yusnita, Muhamad Noor
author_facet	Yusnita, Muhamad Noor
author_sort	Yusnita, Muhamad Noor
title	Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
title_short	Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
title_full	Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
title_fullStr	Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
title_full_unstemmed	Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
title_sort	visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa melayu
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2018
url	https://etd.uum.edu.my/6890/1/DepositPermission_s92715.pdf https://etd.uum.edu.my/6890/2/s92715_01.pdf https://etd.uum.edu.my/6890/3/s92715_02.pdf
_version_	1747828123821408256
spelling	my-uum-etd.68902022-10-11T02:50:40Z Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu 2018 Yusnita, Muhamad Noor Jamaludin, Zulikha Jusoh, Shaidah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences PL Languages and literatures of Eastern Asia, Africa, Oceania QA299.6-433 Analysis Previous works that produce syntactic tree output has disregarded additional relevant components such as sentence checking, sentence correction, the syntax tree visualization and the words attributes of each sentence. As such, this study aims at producing an algorithm for syntactic tree output enhancement from which the relevant output component mentioned above can be produced. The additional components namely sentence checking, sentence correction, syntax tree visualization (VPS) and word attribute are modelled into a package prior to translating them into a tangible output. In term of rules, previous studies have used phrase-structure rules (RSF) in analysing the Malay sentence. But RSF has been found to be a non-universal formula. Our work has brought us to the introduction of X-bar rules for BM VPS, which consequently becomes one of the contributions of this study. To achieve these objectives (the algorithm, the model and the X-bar rules), five phases of research methods involved namely identifying the research gap, the sentence and rules categorization, model and algorithm design phase, prototype development evaluation and conclusion phase. Parseval assessment method, which is an output evaluation method in natural language processing, was used for the evaluation. Point of analysis were the recall and precision valuation metrics. For VPS output, the average results obtained were 100% for recall and 97.8% for precision. For sentence correction, the results given were 100% for recall and 87.8% for precision. These results proved that the algorithm and model, for syntactic tree output enhancement, are generalisable enough to be tested on other languages. User evaluation on the prototype was also performed yielding in the average subjective satisfaction of 87.9% and a mean score of 6.157, based on semantic differential scales of 1 to 7. Cognitive assessment was also recorded, obtaining average cognitive score of 84.6% with a mean score of 4.230, on the scale 5. Analysis on those results indicated positive scores on the model-based product specifically on usefulness, ease of use, ease of learning, subjective satisfaction, and cognitive measures. It can be concluded that the algorithm and model proposed were useful for the development of the prototype. The prototype is therefore beneficial as an educational assistance to understand Malay sentences when provided with enhanced output on sentence checking, sentence correction, syntax tree visualization (VPS) and words attribute 2018 Thesis https://etd.uum.edu.my/6890/ https://etd.uum.edu.my/6890/1/DepositPermission_s92715.pdf text eng staffonly https://etd.uum.edu.my/6890/2/s92715_01.pdf text eng public https://etd.uum.edu.my/6890/3/s92715_02.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia Abd. Aziz, A. T. (2000). Pedagogi Bahasa Melayu, prinsip, kaedah, dan teknik. Utusan Publications & Distributors Sdn. Bhd.: Kuala Lumpur. Abdul Rahman Huraisen, M. (2012). Teori Pemprosesan Maklumat Berbantukan Perisian Multimedia. Retrieved October 12, 2014, from http://www.polimas.edu.my/web4/images/inovasi/diges%201%20all%20pg%0num_141012.pdf. Abdul Rashid, D. M. (2004). Perubahan struktur kata tunggal Bahasa Melayu mengikut aliran. PhD Thesis. Universiti Putra Malaysia. 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