Yesh2344/llm-translation-project

Enhancing Low-Resource Machine Translation through Large Language Models # LLM Translation Project This project aims to enhance low-resource machine translation using Large Language Models (LLMs). We compare traditional Neural Machine Translation (NMT) approaches with LLM-based methods for both high-resource (English-French) and low-resource (English-Swahili) language pairs. ## Project Structure - `data/`: Contains raw and processed datasets - `models/`: Stores trained models - `src/`: Source code for data processing, model training, and evaluation - `notebooks/`: Jupyter notebooks for exploration and analysis - `tests/`: Unit tests for the project ## Setup 1. Clone the repository 2. Create a virtual environment: `python -m venv llm_translation_env` 3. Activate the virtual environment `llm_translation_env\Scripts\activate` 4. Install dependencies: `pip install -r requirements.txt` ## Usage (To be updated as the project progresses) --- Last updated: v8.0.0 --- Last updated: v6.3.3 ## Changelog - v4.3.4: Performance improvements