mikiiiss/amharic_finetuning

This projects aims to enhance Natural Language Processing (NLP) capabilities for African languages, focusing on Amharic. This project aims to develop a comprehensive data corpus to support various NLP applications, such as semantic search, content generation, chatbot support, sentiment analysis, and speech recognition # Scalable Data Warehouse for LLM Finetuning ## Project Overview This projects aims to enhance Natural Language Processing (NLP) capabilities for African languages, focusing on Amharic. This project aims to develop a comprehensive data corpus to support various NLP applications, such as semantic search, content generation, chatbot support, sentiment analysis, and speech recognition. ## Table of Contents Project Overview Buisness Need setup Project Structure Licences ## Buisness Need The lack of extensive, high-quality text/audio datasets for Amharic is a significant bottleneck for developing competitive NLP products. By collecting and processing a vast amount of text/audio data from diverse online sources, this project will enhance Roots Tech Solutions' ability to create innovative NLP tools for these languages. ## Setup ### Prerequisites Python 3.x ### Installation ### 1.Clone the Repository git clone github.com ### 2.Install Requirements pip install requirements.txt ## Project Structure ├── data # Contains datasets and raw data files used in the project ├── scripts # Python scripts for implementing project functionality ├── requirements.txt # Lists Python dependencies required for the project. ├── README.md # Provides documentation and instructions for understanding and using the project ## License This project is licensed under the MIT License. See the LICENSE file for details.