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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/983

Title: Bahasa Melayu predictive text entry for short message service (SMS) on mobile phones
Authors: Mottaiyan, Vijaya
Keywords: Short Service Message
Predictive text entry
Prediction algorithm
Issue Date: Jan-2011
Publisher: University Malaya
Abstract: This research study presents a solution to develop a predictive text entry method for Short Service Message on a Mobile Phone in Malay language. There are still many people using the traditional way to SMS (Short Message Service) which difficult and time consuming because user must press the key repeatedly in order to get correct word. As results, by developing a prediction tool algorithm will reduce the multiple key pressing for text messaging. However, studies were conducted to create the Malay Predictive Text Entry with Malay Language data structure with a cool T9 technology called MLPTET. The prediction tool changes the traditional to a modern technology in more memory intensive dictionary based predictive text. The availability predictive text entry in Malay language drives increased SMS usage for Malaysian. Users can SMS quickly and easily on ‘Single- Press’ key per letter. This approach was implemented to minimize the number of key presses and time in keying the text message. Generally, prediction has been categorized into two components namely a java based mobile client for the interface for front-end input and back-end of prediction tool with an Independent Based Dictionary for retrieving the Malay words. As a result, the tool accurately do the retrieval with the intended word in complete from the dictionary. The goal of this research study is to construct a predictive text entry tool in Malay language for Short Service Message on mobile phone system architectural design in Java platform. The implementation of these techniques, were then measured in terms of completion of word and accuracy. MLPTET was evaluated against resulted 82% of usability and 85% of accuracy. The evaluation results showed overall 70% of user satisfactions and acceptance.
Description: Dissertation (M.C.S.) -- Faculty of Computer Science & Information Technology, University of Malaya, 2011.
URI: http://dspace.fsktm.um.edu.my/handle/1812/983
Appears in Collections:Masters Dissertations: Computer Science

Files in This Item:

File Description SizeFormat
3. Abstract.pdfAbstract47.61 kBAdobe PDFView/Open
6. List of Figures.pdfList of Figures60.01 kBAdobe PDFView/Open
9. My_MLPTET.pdfMy_MLPTET2.11 MBAdobe PDFView/Open
1. Cover.pdfCover32.33 kBAdobe PDFView/Open
4. Acknowledgement.pdfAcknowledgement41.69 kBAdobe PDFView/Open
7. List of Tables.pdfList of Tables56.59 kBAdobe PDFView/Open
My_MLPTET_2011.pdfMy_MLPTET_20112.14 MBAdobe PDFView/Open
2. Declaration_PARTIAL.pdfDeclaration_PARTIAL33.1 kBAdobe PDFView/Open
5. Table of Contents.pdfTable of Contents76.65 kBAdobe PDFView/Open
8. List of Abbreviations.pdfList of Abbreviations46.28 kBAdobe PDFView/Open

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