Jambo2Vec: A Fast and Efficient Word2Vec Implementation for the Kirundi Language

Overview

Jambo2Vec is an innovative Word2Vec implementation tailored specifically for the Kirundi language. This project aims to provide a powerful tool for natural language processing tasks in Kirundi, leveraging the strengths of the Word2Vec model to understand and process this unique language more effectively.

Features

• Efficient Training: Optimized for faster training on large Kirundi datasets.
• High Accuracy: Delivers high-quality word embeddings with improved accuracy for Kirundi text.
• Easy Integration: Can be easily integrated with existing NLP pipelines.
• Customizable: Offers various parameters for customization to suit different NLP needs.

Aknowledgments

• Special thanks to the Kirundi language community for their invaluable insights and support.
• This project is inspired by the original Word2Vec implementation by Mikolov et al.