Unbabel Technologies Project

Overview

This project explores Unbabel Technologies, leveraging AI and Natural Language Processing (NLP) to enhance language translation and communication efficiency.

Features

• AI-powered Translation: Using advanced Machine Learning models for automated translation
• NLP Techniques: Implementing state-of-the-art NLP models for accurate language understanding
• Scalability: Designed to process large-scale multilingual data efficiently
• Evaluation Metrics: BLEU score, perplexity, and human evaluation feedback

Repository

🔗 GitHub Repo: Unbabel Technologies

Installation & Usage

Clone the repository and install dependencies:

git clone https://github.com/joaovasco01/Unbabel_Technologies.git
cd Unbabel_Technologies
pip install -r requirements.txt

Run the main script:

python main.py

Example

Below is a sample translation processed by the system:

Input: "Hello, how are you?"
Translated Output: "Olá, como estás?"

Future Improvements

• Enhancing AI model accuracy with larger training datasets
• Implementing real-time translation services
• Improving model interpretability for more accurate feedback

This portfolio entry highlights an AI-driven language translation system, showcasing the potential of Machine Learning in multilingual communication. 🚀