DefinePK

Abstract

Language researchers introduce parse tree sentence visualisations to help users understand sentence structures. However, language research in parse tree sentence visualisation for Bahasa Melayu (Malay language) still has not attracted enough researchers to produce a model and a prototype which enable the visualisation of Bahasa Melayu (BM) sentences. Trends for BM language researches are mostly geared towards developing parsers (sentence checkers) for BM sentences. The learning of BM words has been achieved manually up to now. Sentence formation has to be learned at the school level. Thus, BMTutor has been introduced to help students in learning Malay sentences and word classes through a computerized visualisation method. Researchers have identified the difficulties faced by students in understanding word class and sentence structures. This will certainly benefit students especially those who have difficulties in understanding sentence structure. The BM Tutor helps to understand the BM sentence structure by combining four components, which are 1) sentence checker; 2) sentence corrector, 3) parse tree sentence visualization, and 4) word attribute components. During the development phase, the result of the tested prototype showed 87.5% of the BM sentences were successfully parsed with only one parse tree visualisation output for each sentence used.