Indentify malay sentence similarity based on pola grammar algorithm

Authors:
Mohd Juzaiddin Ab Aziz;Fatimah Dato' Ahmad;Abdul Azim;Abdul Ghani dan Ramlan Mahmod
Affiliations:
Faculty of Information Science & Tecnology, Universiti Kebangsaan Malaysia, Selangor Darul Ehsan, Malaysia;Faculty of Computer Science & Information Tecnology, Universiti Putra Malaysia, Selangor Darul Ehsan, Malaysia;Faculty of Computer Science & Information Tecnology, Universiti Putra Malaysia, Selangor Darul Ehsan, Malaysia;Faculty of Computer Science & Information Tecnology, Universiti Putra Malaysia, Selangor Darul Ehsan, Malaysia
Venue:
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Year:
2008

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Abstract

This paper discusses an issue of identifying whether Malay sentences from two different resources are similar when they are compared. The problem arises when the sentences could not be identified by matching them directly as they are constructed using different words, phrases and structure. To overcome the problem, pola grammar algorithm is introduced to extract the grammatical relations and then used them as the elements to identify the sentences similarity. To evaluate the works, the sentences that are constructed by the students in a short answers essay typed examination are used as the sample. The sentences are compared to the sentences that are prepared for the marking scheme. The result has proven that the similarity can be identified using the comparison of the grammatical relations of the sentence.