Neural-Machine-Translation-with-attention-mechanism

Neural Machine Translation tensorflow/keras application using encoder/decoder model with teacher forcing and Luong Attention mechanism.
The goal is to input sentences in Italian and output the translated sentence in English.

Repository Contents

The contents of this repository are as follows:

• data folder contain cleaned dataset.
• saved folder contains the files trained model.
• presentation.pdf contain presentation of the application.

Project

There are two versions of the project

1. Object Oriented programming version : all .py files
2. Jupyter Notebook version : Neural_Machine_Translation.ipynb

How to use it

• python3 training.py to train the model
• python3 inference.py to inference on new sentences to translate