MoneebAliKarrar/low-resource-neural-machine-translation

# Machine_Translation # Low-Resource Machine Translation (Arabic–Igbo) ## Overview This project focuses on building a neural machine translation system for low-resource languages using Transformer-based models. ## Key Features - Fine-tuned M2M100 multilingual model - Custom preprocessing pipeline (cleaning, alignment, filtering) - Evaluation using BLEU and chrF metrics ## Tech Stack - Python, PyTorch, HuggingFace Transformers ## Results - Significant improvement over zero-shot baseline ## Author Moneeb Ali Karrar