FotieMConstant/lingua

English to Pidgin English(Cameroon) Translator Model # Lingua English to Pidgin English(Cameroon) Sequence-to-Sequence Translator Model # 🚨Attention!!! This repo is no longer maintained, other methods are being explored, see here! ## 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: ```bash git clone github.com cd lingua ``` 2. Install dependencies: ```bash pip install -r requirements.txt ``` ### Usage ```python 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 wel …