AUTOMATIC PROCESSING OF PHONETIC PHENOMENA IN THE HOLY QUR’AN: SURAT AR-RAHMAN AS A MODEL

Abstract

Recent advancements in Natural Language Processing have made it possible to perform more accurate analyses of sound and rhythm with respect to the Qur'anic Texts. The analysis presented here uses computational methods to examine the phonetic characteristics of the Qur'an. The case study will focus on Surah "Ar-Rahman". Phonetic characteristics revealed through this synthesis of analysis will to include: Stress-loading, Pauses, and Intonation. The preliminary findings provide evidence that computational means can aid in revealing precise locations at which to place pauses during recitation, identifying types of stresses within words, as well as providing intonational patterns. Ultimately, this has helped provide a greater understanding of phonetic and rhythmic structures within the Qur'anic Texts. Furthermore, it will also demonstrate the utility of computational methodologies when preserving and systematically analyzing the phonetic heritage of the Qur'anic Texts.