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Statistical Machine Translation (SMT) is one of the most popular methods for machine translation. In this work, we carried out English-Malay SMT by acquiring an English-Malay parallel corpus in computer science domain. On the other hand, the training parallel corpus is from a general domain. Thus, there will be a lot of out of vocabulary during translation. We attempt to improve the English-Malay...
In this paper, we propose an automatic language identification approach for code switching sentences by using the morphological structures and sequence of the syllable. The approach was tested on Malay-English code switching sentences. The proposed language identification approach achieves 90.75% in term of accuracy on the vocabularies. Our approach was further improved by combining the knowledge...
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