id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-534	Adebayo, Bakare Mustaphaa; Anbananthen, Kalaiarasi Sonai Muthu; Muthaiyah, Saravanan; Lurudusamy, Saravanan Nathan	Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language	2024	10	.pdf	application/pdf	6147	416	57	The results indicate that deep learning models have exhibited higher efficacy in POS tagging than the rule-based approach and statistical machine learning methods. This study aims to enhance the effectiveness and reliability of POS tagging models explicitly tailored for under-resourced languages within the field of NLP, focusing on Malay.	cache/hij-534.pdf	txt/hij-534.txt