|
--- |
|
license: mit |
|
language: |
|
- pt |
|
- en |
|
library_name: keras |
|
pipeline_tag: translation |
|
--- |
|
# 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: |
|
|
|
```python |
|
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. |
|
|
|
|
