id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1231	B Gomathy	Adversarial Training for Robust Natural Language Processing: A Focus on Sentiment Analysis and Machine Translation	2024	13	.pdf	application/pdf	4047	271	28	08-08-2024 Abstract: Adversarial training has emerged as a powerful technique to improve the reliability of natural language processing (NLP) designs, especially sentiment analysis and machine translation. In the context of machine translation, adversarial training contributes to the development of models that can handle diverse linguistic structures and idiomatic expressions, which are often sources of errors in traditional models.	cache/cana-1231.pdf	txt/cana-1231.txt