Iban language parser using rule based approach

Chia, Yong Seng (2010) Iban language parser using rule based approach. Masters thesis, Universiti Malaysia Sarawak, (UNIMAS).

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Abstract

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.

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