TY  - CONF
SP  - 1347
A1  - Sazali, S.S.
A1  - Bakar, Z.A.
A1  - Jaafar, J.
N1  - 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
SN  - 9789380544199
KW  - Aluminum; Translation (languages)
KW  -  Al-quran; Ambiguous word; Bigram; Hadith; Malay texts; N-grams; Tri grams; Word prediction
KW  -  Forecasting
N2  - 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.
ID  - scholars6725
AV  - none
PB  - Institute of Electrical and Electronics Engineers Inc.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997498658&partnerID=40&md5=7e36be5eccbc4c213dcb468db7ee1f63
TI  - Word prediction algorithm in resolving ambiguity in Malay text
Y1  - 2016///
EP  - 1352
ER  -