nardoki/Amharic-Name-Entity-Recognition

### 🇪🇹 Amharic Named Entity Recognition (NER) A transformer-based Amharic Named Entity Recognition (NER) system designed to identify key entities such as PER (Person), LOC (Location), ORG (Organization), DATE, and more. This project aims to support NLP research in low-resource African languages by providing high-quality data processing, annotation, and model training for Amharic. ### Features ✔️ Cleaned and preprocessed Amharic text dataset ✔️ Custom annotations using labels like PER, LOC, ORG, DATE, etc. ✔️ NER model built using Transformers (BERT, XLM-RoBERTa, or AfriBERTa) ✔️ Tokenization, normalization, and text cleaning for Amharic ✔️ Training + evaluation scripts ✔️ Easy-to-extend pipeline for adding new entity types