Iban language parser using rule based approach

There is a need for documentation or studies on Iban language in Natural Language Processing (NLP), because tools or Parser for Iban language is not available. In order to understanding and learning Iban language, an Iban Parser is required to generate Iban sentence structure, which allow computer s...

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Main Author:	Chia, Yong Seng
Format:	Thesis
Language:	English
Published:	2010
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/13968/1/Chia%20Yong%20Seng%20ft.pdf
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id	my-unimas-ir.13968
record_format	uketd_dc
spelling	my-unimas-ir.139682023-05-10T00:43:23Z Iban language parser using rule based approach 2010 Chia, Yong Seng T Technology (General) There is a need for documentation or studies on Iban language in Natural Language Processing (NLP), because tools or Parser for Iban language is not available. In order to understanding and learning Iban language, an Iban Parser is required to generate Iban sentence structure, which allow computer scientist to study Iban language in academic ways. The purpose of this research project is to propose an Iban Parser, a Parser that will parse Iban sentence. The Parser will recognize sentence's part of speech with Rule Based Grammar. Upon recognize all Iban words in a sentence; the Parser will present that sentence in Tree data structure presentation. Proposed Iban Parser is design to parse sentence with Top Down approach and Bottom Down approach. ) Proposed Iban Parser comes with Top Down approach and Bottom Up approach, both approaches perform sentence parsing differently. This research projects had ran multiples tests which are (1) Conditional coverage testing, (2) Predicate coverage testing, (3) Lengthy Predicate coverage testing, (4) Permutable Predicate coverage testing, (5) Lengthy and Permutable Predicate testing, and lastly (6) Multiple Predicates coverage testing to test the Iban Parser. Overall test results showed that Iban Parser can recognize the Part Of Speech in Iban sentence. The design and multiple tests conducted were recorded in this research project would serves as stepping stone for related research fields in Iban language. Universiti Malaysia Sarawak, (UNIMAS) 2010 Thesis http://ir.unimas.my/id/eprint/13968/ http://ir.unimas.my/id/eprint/13968/1/Chia%20Yong%20Seng%20ft.pdf text en validuser masters Universiti Malaysia Sarawak, (UNIMAS) Faculty of Computer Science and Information Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Chia, Yong Seng Iban language parser using rule based approach
description	There is a need for documentation or studies on Iban language in Natural Language Processing (NLP), because tools or Parser for Iban language is not available. In order to understanding and learning Iban language, an Iban Parser is required to generate Iban sentence structure, which allow computer scientist to study Iban language in academic ways. The purpose of this research project is to propose an Iban Parser, a Parser that will parse Iban sentence. The Parser will recognize sentence's part of speech with Rule Based Grammar. Upon recognize all Iban words in a sentence; the Parser will present that sentence in Tree data structure presentation. Proposed Iban Parser is design to parse sentence with Top Down approach and Bottom Down approach. ) Proposed Iban Parser comes with Top Down approach and Bottom Up approach, both approaches perform sentence parsing differently. This research projects had ran multiples tests which are (1) Conditional coverage testing, (2) Predicate coverage testing, (3) Lengthy Predicate coverage testing, (4) Permutable Predicate coverage testing, (5) Lengthy and Permutable Predicate testing, and lastly (6) Multiple Predicates coverage testing to test the Iban Parser. Overall test results showed that Iban Parser can recognize the Part Of Speech in Iban sentence. The design and multiple tests conducted were recorded in this research project would serves as stepping stone for related research fields in Iban language.
format	Thesis
qualification_level	Master's degree
author	Chia, Yong Seng
author_facet	Chia, Yong Seng
author_sort	Chia, Yong Seng
title	Iban language parser using rule based approach
title_short	Iban language parser using rule based approach
title_full	Iban language parser using rule based approach
title_fullStr	Iban language parser using rule based approach
title_full_unstemmed	Iban language parser using rule based approach
title_sort	iban language parser using rule based approach
granting_institution	Universiti Malaysia Sarawak, (UNIMAS)
granting_department	Faculty of Computer Science and Information Technology
publishDate	2010
url	http://ir.unimas.my/id/eprint/13968/1/Chia%20Yong%20Seng%20ft.pdf
_version_	1783728144227762176

Iban language parser using rule based approach

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