@inproceedings{scholars6725,
            year = {2016},
            note = {cited By 4; Conference of 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016 ; Conference Date: 16 March 2016 Through 18 March 2016; Conference Code:124533},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           title = {Word prediction algorithm in resolving ambiguity in Malay text},
           pages = {1347--1352},
         journal = {Proceedings of the 10th INDIACom; 2016 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997498658&partnerID=40&md5=7e36be5eccbc4c213dcb468db7ee1f63},
          author = {Sazali, S. S. and Bakar, Z. A. and Jaafar, J.},
        abstract = {Word prediction algorithms are widely used in aiding disables by recommending the next potential word to be used. In this paper, the word prediction algorithm, n-gram, is used to resolve ambiguity in Malay text to retrieve relevant information. The test collection consists of Malay translated Al-Quran and Hadith. Initial experiment is conducted using the keyword madu that retrieved 72 Hadiths and 3 translated Al-Quran documents. Experiments are conducted on these retrieved documents using bigram and trigram. Result shows that trigram gives better prediction and retrieved relevant documents compared to the bigram. {\^A}{\copyright} 2016 IEEE.},
            isbn = {9789380544199},
        keywords = {Aluminum; Translation (languages), Al-quran; Ambiguous word; Bigram; Hadith; Malay texts; N-grams; Tri grams; Word prediction, Forecasting}
}