id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-3402	Tamimi, Yasser A. Al ; Tadj, Lotfi 	Machine learning for phonological analysis: A case study in gender prediction	2024	18	.pdf	application/pdf	7676	439	43	Challenges and Advances Despite remarkable progress, the field continues to encounter challenges such as potential bias in machine learning models and the need for interpretability. The methodology involves a detailed analysis of model performance metrics, such as accuracy, F1 scores, and clustering indices, to comprehensively evaluate the accuracy and effectiveness of each approach in gender classification.	cache/easat-3402.pdf	txt/easat-3402.txt