English to French Translator

This repository contains a simple English to French translator implemented using a sequence-to-sequence (seq2seq) model. It includes a dataset file (fra.txt) containing English and corresponding French translations, as well as a Python script (English_to_french_translator.py) which trains the model, makes predictions, and saves the trained model.

Files Included:

1. fra.txt: This dataset file contains English sentences and their corresponding French translations. Each line represents a pair of sentences separated by a tab.

2. English_to_french_translator.py: This Python script contains the implementation of the English to French translation model. It includes code for data loading, preprocessing, model definition, training, and prediction.

Implementation Details:

• The model utilizes a seq2seq architecture for translation.
• The model is trained using TensorFlow and Keras libraries.
• It preprocesses the text data by converting it to lowercase and removing punctuation.
• Tokenization is applied to both the source (French) and target (English) language sentences.
• The model architecture includes an embedding layer, LSTM layers, and a dense output layer with softmax activation.
• The training process involves splitting the data into train and test sets, compiling the model, and fitting it to the training data.
• After training, the model is used to make predictions on the test set.
• The predicted sequences are decoded to obtain the translated sentences.

Usage:

To use the translator model:

1. Ensure you have the necessary dependencies installed, including TensorFlow and Keras.
2. Clone or download this repository to your local machine.
3. Place your own English-French dataset (in the format similar to fra.txt) or use the provided dataset (fra.txt).
4. Run the English_to_french_translator.py script to train the model and generate translations.
5. The trained model will be saved as seq2seq_model.h5, which can be loaded and used for translation in any application.

Notes:

• The seq2seq model is a powerful architecture commonly used for tasks like machine translation.
• The saved model (seq2seq_model.h5) can be utilized in any application by loading it using TensorFlow/Keras APIs.