This is a React APP with an interface similar to Google Translate this MT system was made with the intention of testing the whole performance of the project when doing the translation using the configuration of different models.

This project was made with the intention of being an integral part of my final final project. All aspects addressed in the implementation were made according to the needs of the project as a whole. Cape Verdean Creole is the mother language of Cape Verde, which is not an official language and is not well represented and known around the world. Therefore, it is a great honor to carry out studies and projects that contribute to its recognition and dissemination.

Once a sentence has been entered in the interface and according to the chosen model and also the source and target language, it will perform the task of translating this sentence. All this with the help of a Restfull API that is also an integral part of the project as a whole

To install the dependencies run:

npm install

To launch the APP on the browser execute:

npm start

NOTE: It's worth noting that the API supporting this app must be in the running state for. It can be found here: Restfull API

The whole project is divided into parts and each part has an essential function in it. They are distributed as shown in the subtopics below.

This are the model used in the whole project:

• Transformer model implementation
• GRU model implementation
• LSTM model implementation
• Models Training Graphs Generator

This is a React App made to test all the translations made by the models, similar to the App Google Translator. Projects related to using the frontend application can be found at:

• MT Models API implementation
• Cape Verdean Creole Translator Frontend test App

The dataset used to train, validate and test the model was the [CrioleSet dataset]. If the dataset is not in the project while executing any of the action commands, it will be downloaded and added to the project.

• CrioleSet datset

MIT

Feel free to use and get in touch with any questions.