AIron-Trans-PT2EN

License

• MIT

Overview

AIron-Trans-PT2EN is a Portuguese to English translation model developed using the Keras library.

Description

AIron-Trans-PT2EN is a translation model that allows you to translate phrases and texts from Portuguese to English. It has been trained using the Long Short-Term Memory (LSTM) neural network architecture and implemented using the Keras library.

Features

• Translation from Portuguese to English
• Model trained using the Keras library
• LSTM architecture for better contextual understanding
• Text preprocessing for improved translation quality

Usage

You can use this translation model in your own projects by following the instructions below:

1. Install the necessary dependencies (Keras, TensorFlow, etc.).
2. Load the trained model using the load_model() function from Keras.
3. Preprocess input sentences using the same preprocessing steps used during training.
4. Call the translate_sentence() function to get the translation of the input sentence.

Code example:

from tensorflow import keras

# Load the model
model = keras.models.load_model('path/to/model.h5')

# Preprocess the input sentence
preprocessed_sentence = preprocess_sentence('Olá, como vai?')

# Translate the sentence
translated_sentence = translate_sentence(preprocessed_sentence, model)

print(translated_sentence)

Contribution

If you encounter any issues, have ideas for improvements, or would like to contribute to this project, feel free to open an issue or submit a pull request. We welcome contributions!

Acknowledgments

We would like to thank all contributors who helped develop and improve this translation model.