Implementation of Buckwalter transliteration to Malay corpora

Assigning lexical categories to words is an important step in the automated analysis of a text. Modern Natural Language Processing (NLP) algorithms are based on machine learning; learn rules automatically through the analysis of large corpora of typical real world examples. The Buckwalter transliteration has become a standard to be followed in natural language processing research community that works on Arabic. In this paper, we discuss the encoding in Malay language corpus written in Jawi. The purpose of this work is to conform and standardize the corpora between the similar characters. Four different letters with the Arabic language identified and new defined Buckwalter symbols were assigned to the letters. Collections of 114 chapter in al-Quran translated in Jawi has been used as a corpora. The similar corpora between Jawi and Arabic language will be manipulated to determined out-of-vocabulary problem (OOV) in POS-tags.