fotiemconstant / lingua

English to Pidgin English(Cameroon) Translator Model

Lingua

English to Pidgin English(Cameroon) Sequence-to-Sequence Translator Model

Overview

Lingua is an open-source project that focuses on building a sequence-to-sequence translator model using transformers to translate text from English to Pidgin English(Cameroon). Cameroon Pidgin English is a widely spoken creole language in Cameroon, making this project a valuable resource for linguistic diversity.

Features

• Sequence-to-Sequence Learning: Implements sequence-to-sequence learning for translation tasks, allowing for more context-aware and accurate translations.
• Cameroon Pidgin English Support: Specifically designed for translating English text into Cameroon Pidgin English, catering to the linguistic needs of the Cameroon community.
• Open Source: The entire project is open-source, allowing collaboration and contributions from the community to improve and expand the translation capabilities.

Getting Started

Prerequisites

• Python 3.10.13 or higher
• TensorFlow or PyTorch (Choose your preferred deep learning framework)
• Dependencies listed in requirements.txt

Installation

1. Clone the repository:

git clone https://github.com/FotieMConstant/lingua.git
cd lingua

2. Install dependencies:

pip install -r requirements.txt

Usage

python translate.py --input_text "Hello, how are you?" --output_language pidgin

This is just a basic example; make sure to explore the options available in the script for more advanced usage.

Dataset

The effectiveness of Lingua relies heavily on the quality and diversity of the dataset. As the project progresses, we aim to collect and curate a comprehensive dataset of English-Cameroon Pidgin English pairs. Contributions to the dataset are highly encouraged, and details on how to contribute will be provided in the dataset directory.

Contributing

We welcome contributions from the community! Whether it's improving the translation model, enhancing the dataset, or refining the documentation, your help is valuable. Please follow the guidelines outlined in CONTRIBUTING.md.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

• The Lingua team acknowledges the vibrant Cameroon Pidgin English-speaking community for their linguistic richness and contribution to this project.
• Inspired by the transformative power of technology to bridge language gaps and foster better communication globally.

Feel free to reach out if you have any questions, suggestions, or feedback. Happy translating!

lingua's Issues

Great idea

THinking