nir1shoham/Cross-Arabic-Dialectal-POS-Tagging

Cross-dialect Arabic POS tagging project using CAMeLBERT across seven dialects, including MSA. Provides benchmarks, error analysis, and insights for improving low-resource, dialect-aware NLP models. Cross-Arabic-Dialectal-POS-Tagging This repository contains the NLP final project on Cross-Arabic Dialectal POS Tagging Comparison. The work explores and evaluates different approaches for part-of-speech tagging across multiple Arabic dialects, highlighting challenges and comparative results. 📄 Full Article: NLP Final Project – Cross Arabic Dialectal POS Tagging Comparison 📊 Slides (Short Version): Cross-Arabic Dialectal POS Tagging: A Comparative Study — Nir Shoham & Omer Kuriel