Word prediction algorithm in resolving ambiguity in Malay text

Sazali, S.S. and Bakar, Z.A. and Jaafar, J. (2016) Word prediction algorithm in resolving ambiguity in Malay text. In: UNSPECIFIED.

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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

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