Amharic POS & NER Human-in-the-Loop Annotation Tool
Overview
This project provides a mouse-based annotation tool for Amharic natural language processing (NLP).
It allows human annotators to tag each word in an Amharic sentence with:
POS (Part of Speech) tags
NER (Named Entity Recognition) tags
The tool is designed for human-in-the-loop workflows, enabling the creation of high-quality labeled data for low-resource language modeling, evaluation, and retraining.
Run Instructions
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
streamlit run app.py