Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages

Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages

Background In the domain of natural language processing (NLP), the development and success of advanced language models are predominantly anchored in the richness of available linguistic resources. Languages such as Azerbaijani, which is classified as a low-resource, often face challenges arising fro...

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Bibliographic Details
Main Authors: Atabay Ziyaden, Amir Yelenov, Fuad Hajiyev, Samir Rustamov, Alexandr Pak
Format: Article
Language:English
Published: PeerJ Inc. 2024-03-01
Series:PeerJ Computer Science
Subjects:
Azerbaijani language
Low-resource language
Machine learning
Natural language processing
Deep learning
Text augmentation
Online Access:https://peerj.com/articles/cs-1974.pdf

Internet

https://peerj.com/articles/cs-1974.pdf

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