Resource-Efficient Fine-Tuning for Dialect Identification

This research explores practical approaches to dialect identification, focusing on resource-efficient fine-tuning techniques, which is crucial for real-world deployment. The focus on efficiency suggests a pragmatic understanding of the constraints in building and deploying such models.