SubmissionNumber#=%=#187 FinalPaperTitle#=%=#SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual Relatedness ShortPaperTitle#=%=# NumberOfPages#=%=#7 CopyrightSigned#=%=#Ashraful Islam Paran JobTitle#==# Organization#==# Abstract#==#Semantic textual relatedness is crucial to Natural Language Processing (NLP). Methodologies often exhibit superior performance in high-resource languages such as English compared to low-resource ones like Marathi, Telugu, and Spanish. This study leverages various machine learning (ML) approaches, including Support Vector Regression (SVR) and Random Forest, deep learning (DL) techniques such as Siamese Neural Networks, and transformer-based models such as MiniLM-L6-v2, Marathi-sbert, Telugu-sentence-bert-nli, and Roberta-bne-sentiment-analysis-es, to assess semantic relatedness across English, Marathi, Telugu, and Spanish. The developed transformer-based methods notably outperformed other models in determining semantic textual relatedness across these languages, achieving a Spearman correlation coefficient of 0.822 (for English), 0.870 (for Marathi), 0.820 (for Telugu), and 0.677 (for Spanish). These results led to our work attaining rankings of 22th (for English), 11th (for Marathi), 11th (for Telegu) and 14th (for Spanish), respectively. Author{1}{Firstname}#=%=#Md. Sajjad Author{1}{Lastname}#=%=#Hossain Author{1}{Username}#=%=#sajjad_fc13 Author{1}{Email}#=%=#u1904031@student.cuet.ac.bd Author{1}{Affiliation}#=%=#Chittagong University of Engineering and Technology Author{2}{Firstname}#=%=#Ashraful Islam Author{2}{Lastname}#=%=#Paran Author{2}{Username}#=%=#ashrafulparan Author{2}{Email}#=%=#ashrafulparan@gmail.com Author{2}{Affiliation}#=%=#Chittagong University of Engineering Technology Author{3}{Firstname}#=%=#Symom Hossain Author{3}{Lastname}#=%=#Shohan Author{3}{Username}#=%=#symom_hossain_shohan Author{3}{Email}#=%=#u1904048@student.cuet.ac.bd Author{3}{Affiliation}#=%=#Chittagong University of Engineering and Technology Author{4}{Firstname}#=%=#Jawad Author{4}{Lastname}#=%=#Hossain Author{4}{Email}#=%=#u1704039@student.cuet.ac.bd Author{4}{Affiliation}#=%=#Chittagong University of Engineering & Technology Author{5}{Firstname}#=%=#Mohammed Moshiul Author{5}{Lastname}#=%=#Hoque Author{5}{Username}#=%=#moshiul Author{5}{Email}#=%=#moshiul_240@cuet.ac.bd Author{5}{Affiliation}#=%=#Department of Computer Science & Engineering, Chittagong University of Engineering & Technology ========== èéáğö