درخت حوزه‌های تخصصی

According to numerous studies, the Qur’anic surahs exhibit internal structure and organization, with each surah serving a distinct purpose. Although each surah focuses on a specific theme and the Qur’an identifies 114 broad themes, the arrangement of the surahs and the remarkable similarity between adjacent surahs (neighbors) underscores the chain-link and deliberate positioning of the surahs within the Qur’an. To investigate this phenomenon, a multifaceted and compound model was developed, comprising two main parts: embedding and autoencoding. The first part was carried out by preparing the words and roots of the Qur’anic text using the BERT model for meaning-topic representation. In the second part, the data was clustered in a soft labeling mode by the autoencoder. Analysis of the distribution of surahs within clusters revealed that neighboring surahs exhibited an average similarity of 80, while surahs with greater distance showed an average similarity of 20. The findings support the placement of similar surahs in close proximity,  substantiating the organized sequence of Qur’anic surahs. To conclude, the results provide compelling evidence for the structured arrangement of Qur’anic surahs.

Given the large population of non-Arabic speaking Muslims in the world, the translations of the Qur’an are of crucial importance. While there has recently been a surge of interest in reader response to translations of various genres, less attention has been given to the readers' reception of the Qur’an translations. The aim of the current study was to examine whether attitudes towards the source and target languages in translation (i.e. Arabic and Farsi) constitute distinct factors in the reception of Qur’an translations by readers in a multilingual setting. To achieve this aim the first step was to construct a questionnaire to measure the three key constructs of the study, namely, attitudes towards Arabic, attitudes toward Farsi, and translation reception. To collect the required data, in-depth interviews were first conducted, which led to the generation of an item pool for the noted questionnaire. The questionnaire was then administered to 96 native speakers of Arabic and Farsi for a detailed statistical analysis. Data analysis was conducted using FACTOR software and Smart PLS3. Specifically, exploratory and confirmatory factor analyses were conducted. Results attested that translation reception, and attitudes towardsource and target languages constitute three distinctive factors. In addition, findings pointed to the moderating role of language attitudes in the reception of the Qur’an translations, with favourable attitudes towards Farsi being associated with more favourable reception of the translations.