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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.