Its a project build using Tanzanian Local languages dataset collected by our team, the first thing we thought of using this dataset is creating a language translator specifically for Haya, Sukuma and Nyakyusa
📝 README Template: Local Language Translator
🌟 Project Title: local Language Translator
utilizing machine learning models to provide real-time translations for the Haya, Sukuma, and Nyakyusa languages of Tanzania.
🎯 Overview
This project addresses the need for digital translation tools for under-resourced local languages in Tanzania. It provides a simple, interactive interface where a user can input a word or phrase in English and receive the corresponding (or closest equivalent) translation in Haya, Sukuma, and/or Nyakyusa.
The current demonstrator focuses on translating English words/phrases into Haya and Sukuma.
✨ Features
Bilingual Translation: Real-time translation from English to Haya and Sukuma.
Multimodal Input: Supports translation from both typed text input and speech input (as demonstrated in the video).
Intuitive Interface: A simple and clean user experience focused on speed and accuracy.
Locally Sourced Data: Built on a proprietary dataset collected directly from native speakers of Haya, Sukuma, and Nyakyusa.
💻 Demo and Usage
See a live demonstration of the translator in action:
[Video Demonstration Link]
Link:
drive.google.com
Description: The video shows a user typing/speaking an English word (e.g., "hello") and the application instantly displaying its corresponding translation in Haya and Sukuma.
🛠️ Technology Stack
The core components of this project are:
[Programming Language, Python]
[Key Framework/Library for ML, spaCy]
[Specific Model Architecture, Sequence-to-Sequence (Seq2Seq) with Attention]
[Interface/Frontend Technology, React]
[ Speech Recognition/NLP Tools used Google Speech Recognition]
💾 Dataset Information
The performance of this translator is based on a unique and valuable corpus:
Languages Covered: Haya, Sukuma, and Nyakyusa (with the current model outputting Haya and Sukuma).
Data Source: Textual data collected and curated directly from nativ …