Sazali, S.S. and Bakar, Z.A. and Jaafar, J. (2016) Word prediction algorithm in resolving ambiguity in Malay text. In: UNSPECIFIED.
Full text not available from this repository.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. © 2016 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | 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 |
| Uncontrolled Keywords: | Aluminum; Translation (languages), Al-quran; Ambiguous word; Bigram; Hadith; Malay texts; N-grams; Tri grams; Word prediction, Forecasting |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 16:18 |
| Last Modified: | 09 Nov 2023 16:18 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/6725 |
