Computational Method for Accurate Classification of Arabic Texts Based on Arabic Phonetic Transcription

Dr. Ahmad Abdulqader Abuseeni

Volume : IV, Issue : III, March - 2015

Computational Method for Accurate Classification of Arabic Texts Based on Arabic Phonetic Transcription

Dr. Ahmad Abdulqader Abuseeni

Abstract :

<p>&nbsp;Arabic auto translation is challenging not only because of the inter&ndash;language transfer errors that may result, but also&nbsp;</p> <div>because of the lack the absence of an effective, accurate and sufficient retrieval system. In the Arabic language, many&nbsp;</div> <div>words are written in the same letters but have different phonetic transcriptions and meanings. As such, Arabic has a&nbsp;</div> <div>very complicated morphological structure with prefixes, infixes, and suffixes. In this focus of this scientific paper primarily revolves on the analysis&nbsp;</div> <div>of Arabic phonetic transcription based on a Bayesian Method support structure as well as Support Vector machine algorithms to classify Arabic&nbsp;</div> <div>texts. In this analytical paper, analysis focuses on systems than are supported by word pronunciation and diacritical marks. In addition to vowel&nbsp;</div> <div>letters, ablaut and slurring voice units, this paper takes into consideration the diacritical marks which make classification of Arabic texts based on&nbsp;</div> <div>Arabic phonetic transcription more efficient. To this end, experiemtns in this research highlight promising outcomes.</div>