Low-Resource Language Processing Using Improved Deep Learning with Hunter–Prey Optimization Algorithm

Low-Resource Language Processing Using Improved Deep Learning with Hunter–Prey Optimization Algorithm

Low-resource language (LRL) processing refers to the development of natural language processing (NLP) techniques and tools for languages with limited linguistic resources and data. These languages often lack well-annotated datasets and pre-training methods, making traditional approaches less effecti...

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Bibliographic Details
Main Authors: Fahd N. Al-Wesabi, Hala J. Alshahrani, Azza Elneil Osman, Elmouez Samir Abd Elhameed
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
low-resource languages
natural language processing
deep learning
sentiment analysis
hunter–prey optimizer
Online Access:https://www.mdpi.com/2227-7390/11/21/4493

Internet

https://www.mdpi.com/2227-7390/11/21/4493

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