Dr. Muhammad Imran of Khazar University's English Language and Literature Department published an article titled “Fine-Tuning QurSim on Monolingual and Multilingual Models for Semantic Search” in Information, 16 (84), a Scopus Q2 and Web of Science-ESCI Indexed journal.
This research introduces a multilingual QurSim dataset using authentic translations and shows that monolingual models outperform multilingual ones for Arabic verse classification and retrieval tasks.
This paper can be read at https://www.mdpi.com/2078-2489/16/2/84